In [2]:
# CNN
def TSF_using_CNN():
# ---------------------------------
# Load packages
# ---------------------------------
import warnings
warnings.filterwarnings("ignore")
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
import statsmodels.api as sm
from pandas.plotting import autocorrelation_plot
# ---------------------------------
# set plot attributes
# ---------------------------------
plt.style.use('fivethirtyeight')
matplotlib.rcParams['axes.labelsize'] = 10
matplotlib.rcParams['xtick.labelsize'] = 10
matplotlib.rcParams['ytick.labelsize'] = 10
matplotlib.rcParams['text.color'] = 'k'
matplotlib.rcParams['figure.figsize'] = 10, 7
# ---------------------------------
# Load Dataset
# ---------------------------------
dataset = pd.read_csv("BJsales_in_R.csv",
header=0, parse_dates=[0],
index_col=0, squeeze=True)
#dataset = pd.read_csv("BJsales_in_R.csv")
#dataset = list(dataset["Temp"])
# print dataset
print()
print(dataset.shape)
print(dataset.head(25))
# ---------------------------------
# Visualise Time Series Dataset
# ---------------------------------
# Plot Dataset
plt.plot(dataset)
plt.show()
# Decompose diffentent Time Series elements e.g. trand, seasonality, Residual ... ...
decomposition = sm.tsa.seasonal_decompose(dataset, model='additive')
decomposition.plot()
plt.show()
# Auto-correlation plot
autocorrelation_plot(dataset)
plt.show()
# split a multivariate sequence into samples
from numpy import array
def split_sequences(sequences, n_steps):
X, y = list(), list()
for i in range(len(sequences)):
# find the end of this pattern
end_ix = i + n_steps
# check if we are beyond the dataset
if end_ix > len(sequences)-1:
break
# gather input and output parts of the pattern
seq_x, seq_y = sequences[i:end_ix], sequences[end_ix]
X.append(seq_x)
y.append(seq_y)
return array(X), array(y)
# choose a number of time steps
n_steps = 3
# convert into input/output
X, y = split_sequences(dataset, n_steps)
print(X.shape)
print(y)
# summarize the data
for i in range(len(X)):
print(X[i], y[i])
# reshape from [samples, timesteps] into [samples, timesteps, features]
n_features = 1
X = X.reshape((X.shape[0], X.shape[1], n_features))
#from numpy import array
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers.convolutional import Conv1D
from keras.layers.convolutional import MaxPooling1D
# define model - using CNN model
model = Sequential()
model.add(Conv1D(filters=256, kernel_size=2, activation='relu', input_shape=(n_steps, n_features)))
model.add(MaxPooling1D(pool_size=2))
model.add(Flatten())
model.add(Dense(1000, activation='relu'))
model.add(Dense(500, activation='relu'))
model.add(Dense(200, activation='relu'))
model.add(Dense(1))
model.compile(optimizer='adam', loss='mse')
# fit model
model.fit(X, y, epochs=1000, verbose=1)
# demonstrate prediction
dataset = pd.read_csv("BJsales_in_R.csv")
dataset = dataset['Sales']
# convert into input/output
X, y = split_sequences(dataset, n_steps)
x_input = X.reshape((X.shape[0], X.shape[1], n_features))
yhat = model.predict(x_input, verbose=1)
#print(yhat)
df_pred = pd.DataFrame.from_records(yhat, columns = ['predicted'])
df_pred = df_pred.reset_index(drop=True)
df_actual = dataset[n_steps:len(dataset)]
df_actual = df_actual.reset_index(drop=True)
# report performance
from sklearn.metrics import r2_score, mean_absolute_error, mean_squared_error, mean_squared_log_error
coefficient_of_dermination = r2_score(df_actual, df_pred)
print("R squared: ", coefficient_of_dermination)
mae = mean_absolute_error(df_actual, df_pred)
print('The Mean Absolute Error of our forecasts is {}'.format(round(mae, 2)))
mse = mean_squared_error(df_actual, df_pred)
print('The Mean Squared Error of our forecasts is {}'.format(round(mse, 2)))
msle = mean_squared_log_error(df_actual, df_pred)
print('The Mean Squared Log Error of our forecasts is {}'.format(round(msle, 2)))
print('The Root Mean Squared Error of our forecasts is {}'.format(round(np.sqrt(mse), 2)))
# plot
ax = df_actual.plot(label='Observed', figsize=(9, 7))
df_pred.plot(ax=ax)
ax.set_xlabel('Date')
ax.set_ylabel('Sales')
plt.legend()
plt.show()
# ---------------------------------------------------------------------------
# Future Predictions
predictions = model.predict(x_input, verbose=1)
future_time_steps = 7
x1 = x_input[-1:,:,:] # take the last input
p1 = predictions[-1:] # take the last prediction
for i in range(future_time_steps):
x2 = np.array([[x1[0][1], x1[0][2], p1]])
p2 = model.predict(x2, verbose=1)
predictions = np.append(predictions, p2)
x1 = x2
p1 = p2
yhat = predictions
yhat = np.reshape(yhat,(-1, 1))
df_pred = pd.DataFrame.from_records(yhat, columns = ['predicted'])
df_pred = df_pred.reset_index(drop=True)
df_actual = dataset[n_steps:len(dataset)]
df_actual = df_actual.reset_index(drop=True)
# plot
ax = df_actual.plot(label='Observed', figsize=(9, 7))
df_pred.plot(ax=ax)
ax.set_xlabel('Date')
ax.set_ylabel('Sales')
plt.legend()
plt.show()
# ---------------------------------------------------------------------------
TSF_using_CNN()
(150,) Date 2005-01-01 200.1 2005-01-02 199.5 2005-01-03 199.4 2005-01-04 198.9 2005-01-05 199.0 2005-01-06 200.2 2005-01-07 198.6 2005-01-08 200.0 2005-01-09 200.3 2005-01-10 201.2 2005-01-11 201.6 2005-01-12 201.5 2005-01-13 201.5 2005-01-14 203.5 2005-01-15 204.9 2005-01-16 207.1 2005-01-17 210.5 2005-01-18 210.5 2005-01-19 209.8 2005-01-20 208.8 2005-01-21 209.5 2005-01-22 213.2 2005-01-23 213.7 2005-01-24 215.1 2005-01-25 218.7 Name: Sales, dtype: float64
(147, 3) [198.9 199. 200.2 198.6 200. 200.3 201.2 201.6 201.5 201.5 203.5 204.9 207.1 210.5 210.5 209.8 208.8 209.5 213.2 213.7 215.1 218.7 219.8 220.5 223.8 222.8 223.8 221.7 222.3 220.8 219.4 220.1 220.6 218.9 217.8 217.7 215. 215.3 215.9 216.7 216.7 217.7 218.7 222.9 224.9 222.2 220.7 220. 218.7 217. 215.9 215.8 214.1 212.3 213.9 214.6 213.6 212.1 211.4 213.1 212.9 213.3 211.5 212.3 213. 211. 210.7 210.1 211.4 210. 209.7 208.8 208.8 208.8 210.6 211.9 212.8 212.5 214.8 215.3 217.5 218.8 220.7 222.2 226.7 228.4 233.2 235.7 237.1 240.6 243.8 245.3 246. 246.3 247.7 247.6 247.8 249.4 249. 249.9 250.5 251.5 249. 247.6 248.8 250.4 250.7 253. 253.7 255. 256.2 256. 257.4 260.4 260. 261.3 260.4 261.6 260.8 259.8 259. 258.9 257.4 257.7 257.9 257.4 257.3 257.6 258.9 257.8 257.7 257.2 257.5 256.8 257.5 257. 257.6 257.3 257.5 259.6 261.1 262.9 263.3 262.8 261.8 262.2 262.7] [200.1 199.5 199.4] 198.9 [199.5 199.4 198.9] 199.0 [199.4 198.9 199. ] 200.2 [198.9 199. 200.2] 198.6 [199. 200.2 198.6] 200.0 [200.2 198.6 200. ] 200.3 [198.6 200. 200.3] 201.2 [200. 200.3 201.2] 201.6 [200.3 201.2 201.6] 201.5 [201.2 201.6 201.5] 201.5 [201.6 201.5 201.5] 203.5 [201.5 201.5 203.5] 204.9 [201.5 203.5 204.9] 207.1 [203.5 204.9 207.1] 210.5 [204.9 207.1 210.5] 210.5 [207.1 210.5 210.5] 209.8 [210.5 210.5 209.8] 208.8 [210.5 209.8 208.8] 209.5 [209.8 208.8 209.5] 213.2 [208.8 209.5 213.2] 213.7 [209.5 213.2 213.7] 215.1 [213.2 213.7 215.1] 218.7 [213.7 215.1 218.7] 219.8 [215.1 218.7 219.8] 220.5 [218.7 219.8 220.5] 223.8 [219.8 220.5 223.8] 222.8 [220.5 223.8 222.8] 223.8 [223.8 222.8 223.8] 221.7 [222.8 223.8 221.7] 222.3 [223.8 221.7 222.3] 220.8 [221.7 222.3 220.8] 219.4 [222.3 220.8 219.4] 220.1 [220.8 219.4 220.1] 220.6 [219.4 220.1 220.6] 218.9 [220.1 220.6 218.9] 217.8 [220.6 218.9 217.8] 217.7 [218.9 217.8 217.7] 215.0 [217.8 217.7 215. ] 215.3 [217.7 215. 215.3] 215.9 [215. 215.3 215.9] 216.7 [215.3 215.9 216.7] 216.7 [215.9 216.7 216.7] 217.7 [216.7 216.7 217.7] 218.7 [216.7 217.7 218.7] 222.9 [217.7 218.7 222.9] 224.9 [218.7 222.9 224.9] 222.2 [222.9 224.9 222.2] 220.7 [224.9 222.2 220.7] 220.0 [222.2 220.7 220. ] 218.7 [220.7 220. 218.7] 217.0 [220. 218.7 217. ] 215.9 [218.7 217. 215.9] 215.8 [217. 215.9 215.8] 214.1 [215.9 215.8 214.1] 212.3 [215.8 214.1 212.3] 213.9 [214.1 212.3 213.9] 214.6 [212.3 213.9 214.6] 213.6 [213.9 214.6 213.6] 212.1 [214.6 213.6 212.1] 211.4 [213.6 212.1 211.4] 213.1 [212.1 211.4 213.1] 212.9 [211.4 213.1 212.9] 213.3 [213.1 212.9 213.3] 211.5 [212.9 213.3 211.5] 212.3 [213.3 211.5 212.3] 213.0 [211.5 212.3 213. ] 211.0 [212.3 213. 211. ] 210.7 [213. 211. 210.7] 210.1 [211. 210.7 210.1] 211.4 [210.7 210.1 211.4] 210.0 [210.1 211.4 210. ] 209.7 [211.4 210. 209.7] 208.8 [210. 209.7 208.8] 208.8 [209.7 208.8 208.8] 208.8 [208.8 208.8 208.8] 210.6 [208.8 208.8 210.6] 211.9 [208.8 210.6 211.9] 212.8 [210.6 211.9 212.8] 212.5 [211.9 212.8 212.5] 214.8 [212.8 212.5 214.8] 215.3 [212.5 214.8 215.3] 217.5 [214.8 215.3 217.5] 218.8 [215.3 217.5 218.8] 220.7 [217.5 218.8 220.7] 222.2 [218.8 220.7 222.2] 226.7 [220.7 222.2 226.7] 228.4 [222.2 226.7 228.4] 233.2 [226.7 228.4 233.2] 235.7 [228.4 233.2 235.7] 237.1 [233.2 235.7 237.1] 240.6 [235.7 237.1 240.6] 243.8 [237.1 240.6 243.8] 245.3 [240.6 243.8 245.3] 246.0 [243.8 245.3 246. ] 246.3 [245.3 246. 246.3] 247.7 [246. 246.3 247.7] 247.6 [246.3 247.7 247.6] 247.8 [247.7 247.6 247.8] 249.4 [247.6 247.8 249.4] 249.0 [247.8 249.4 249. ] 249.9 [249.4 249. 249.9] 250.5 [249. 249.9 250.5] 251.5 [249.9 250.5 251.5] 249.0 [250.5 251.5 249. ] 247.6 [251.5 249. 247.6] 248.8 [249. 247.6 248.8] 250.4 [247.6 248.8 250.4] 250.7 [248.8 250.4 250.7] 253.0 [250.4 250.7 253. ] 253.7 [250.7 253. 253.7] 255.0 [253. 253.7 255. ] 256.2 [253.7 255. 256.2] 256.0 [255. 256.2 256. ] 257.4 [256.2 256. 257.4] 260.4 [256. 257.4 260.4] 260.0 [257.4 260.4 260. ] 261.3 [260.4 260. 261.3] 260.4 [260. 261.3 260.4] 261.6 [261.3 260.4 261.6] 260.8 [260.4 261.6 260.8] 259.8 [261.6 260.8 259.8] 259.0 [260.8 259.8 259. ] 258.9 [259.8 259. 258.9] 257.4 [259. 258.9 257.4] 257.7 [258.9 257.4 257.7] 257.9 [257.4 257.7 257.9] 257.4 [257.7 257.9 257.4] 257.3 [257.9 257.4 257.3] 257.6 [257.4 257.3 257.6] 258.9 [257.3 257.6 258.9] 257.8 [257.6 258.9 257.8] 257.7 [258.9 257.8 257.7] 257.2 [257.8 257.7 257.2] 257.5 [257.7 257.2 257.5] 256.8 [257.2 257.5 256.8] 257.5 [257.5 256.8 257.5] 257.0 [256.8 257.5 257. ] 257.6 [257.5 257. 257.6] 257.3 [257. 257.6 257.3] 257.5 [257.6 257.3 257.5] 259.6 [257.3 257.5 259.6] 261.1 [257.5 259.6 261.1] 262.9 [259.6 261.1 262.9] 263.3 [261.1 262.9 263.3] 262.8 [262.9 263.3 262.8] 261.8 [263.3 262.8 261.8] 262.2 [262.8 261.8 262.2] 262.7 Epoch 1/1000 147/147 [==============================] - 0s 2ms/step - loss: 22634.0644 Epoch 2/1000 147/147 [==============================] - 0s 364us/step - loss: 4804.0270 Epoch 3/1000 147/147 [==============================] - 0s 370us/step - loss: 2421.4244 Epoch 4/1000 147/147 [==============================] - 0s 353us/step - loss: 586.1035 Epoch 5/1000 147/147 [==============================] - 0s 379us/step - loss: 400.2698 Epoch 6/1000 147/147 [==============================] - 0s 376us/step - loss: 457.3275 Epoch 7/1000 147/147 [==============================] - 0s 394us/step - loss: 180.3224 Epoch 8/1000 147/147 [==============================] - 0s 384us/step - loss: 78.9888 Epoch 9/1000 147/147 [==============================] - 0s 367us/step - loss: 69.1444 Epoch 10/1000 147/147 [==============================] - 0s 382us/step - loss: 51.1365 Epoch 11/1000 147/147 [==============================] - 0s 366us/step - loss: 25.6331 Epoch 12/1000 147/147 [==============================] - 0s 380us/step - loss: 14.1422 Epoch 13/1000 147/147 [==============================] - 0s 383us/step - loss: 8.2793 Epoch 14/1000 147/147 [==============================] - 0s 374us/step - loss: 8.1268 Epoch 15/1000 147/147 [==============================] - 0s 379us/step - loss: 6.5855 Epoch 16/1000 147/147 [==============================] - 0s 372us/step - loss: 5.4562 Epoch 17/1000 147/147 [==============================] - 0s 375us/step - loss: 4.8918 Epoch 18/1000 147/147 [==============================] - 0s 380us/step - loss: 4.7691 Epoch 19/1000 147/147 [==============================] - 0s 382us/step - loss: 4.4914 Epoch 20/1000 147/147 [==============================] - 0s 363us/step - loss: 4.3849 Epoch 21/1000 147/147 [==============================] - 0s 370us/step - loss: 4.2869 Epoch 22/1000 147/147 [==============================] - 0s 363us/step - loss: 4.3922 Epoch 23/1000 147/147 [==============================] - 0s 370us/step - loss: 4.6110 Epoch 24/1000 147/147 [==============================] - 0s 362us/step - loss: 4.2958 Epoch 25/1000 147/147 [==============================] - 0s 377us/step - loss: 4.5427 Epoch 26/1000 147/147 [==============================] - 0s 393us/step - loss: 4.3055 Epoch 27/1000 147/147 [==============================] - 0s 397us/step - loss: 4.3465 Epoch 28/1000 147/147 [==============================] - 0s 404us/step - loss: 4.5723 Epoch 29/1000 147/147 [==============================] - 0s 412us/step - loss: 4.7048 Epoch 30/1000 147/147 [==============================] - 0s 404us/step - loss: 4.4905 Epoch 31/1000 147/147 [==============================] - 0s 398us/step - loss: 4.2801 Epoch 32/1000 147/147 [==============================] - 0s 416us/step - loss: 4.4109 Epoch 33/1000 147/147 [==============================] - 0s 418us/step - loss: 4.3783 Epoch 34/1000 147/147 [==============================] - 0s 387us/step - loss: 4.2824 Epoch 35/1000 147/147 [==============================] - 0s 392us/step - loss: 4.2516 Epoch 36/1000 147/147 [==============================] - 0s 399us/step - loss: 4.2483 Epoch 37/1000 147/147 [==============================] - 0s 397us/step - loss: 4.2805 Epoch 38/1000 147/147 [==============================] - 0s 394us/step - loss: 4.2247 Epoch 39/1000 147/147 [==============================] - 0s 373us/step - loss: 4.7973 Epoch 40/1000 147/147 [==============================] - 0s 393us/step - loss: 4.4857 Epoch 41/1000 147/147 [==============================] - 0s 379us/step - loss: 4.8208 Epoch 42/1000 147/147 [==============================] - 0s 397us/step - loss: 4.5706 Epoch 43/1000 147/147 [==============================] - 0s 414us/step - loss: 4.5840 Epoch 44/1000 147/147 [==============================] - 0s 401us/step - loss: 4.2552 Epoch 45/1000 147/147 [==============================] - 0s 407us/step - loss: 4.3891 Epoch 46/1000 147/147 [==============================] - 0s 424us/step - loss: 4.2031 Epoch 47/1000 147/147 [==============================] - 0s 415us/step - loss: 4.2064 Epoch 48/1000 147/147 [==============================] - 0s 405us/step - loss: 4.2622 Epoch 49/1000 147/147 [==============================] - 0s 398us/step - loss: 4.4885 Epoch 50/1000 147/147 [==============================] - 0s 407us/step - loss: 4.4677 Epoch 51/1000 147/147 [==============================] - 0s 402us/step - loss: 4.1847 Epoch 52/1000 147/147 [==============================] - 0s 400us/step - loss: 4.2461 Epoch 53/1000 147/147 [==============================] - 0s 412us/step - loss: 5.0444 Epoch 54/1000 147/147 [==============================] - 0s 430us/step - loss: 4.7455 Epoch 55/1000 147/147 [==============================] - 0s 421us/step - loss: 5.1606 Epoch 56/1000 147/147 [==============================] - 0s 411us/step - loss: 4.5503 Epoch 57/1000 147/147 [==============================] - 0s 414us/step - loss: 4.9875 Epoch 58/1000 147/147 [==============================] - 0s 422us/step - loss: 4.9780 Epoch 59/1000 147/147 [==============================] - 0s 405us/step - loss: 4.6502 Epoch 60/1000 147/147 [==============================] - 0s 409us/step - loss: 4.6386 Epoch 61/1000 147/147 [==============================] - 0s 420us/step - loss: 4.2318 Epoch 62/1000 147/147 [==============================] - 0s 392us/step - loss: 4.2314 Epoch 63/1000 147/147 [==============================] - 0s 421us/step - loss: 4.3080 Epoch 64/1000 147/147 [==============================] - 0s 408us/step - loss: 4.4510 Epoch 65/1000 147/147 [==============================] - 0s 403us/step - loss: 4.4251 Epoch 66/1000 147/147 [==============================] - 0s 406us/step - loss: 4.2564 Epoch 67/1000 147/147 [==============================] - 0s 407us/step - loss: 4.6639 Epoch 68/1000 147/147 [==============================] - 0s 418us/step - loss: 5.1368 Epoch 69/1000 147/147 [==============================] - 0s 417us/step - loss: 4.5060 Epoch 70/1000 147/147 [==============================] - 0s 411us/step - loss: 4.3420 Epoch 71/1000 147/147 [==============================] - 0s 398us/step - loss: 4.3766 Epoch 72/1000 147/147 [==============================] - 0s 393us/step - loss: 4.6013 Epoch 73/1000 147/147 [==============================] - 0s 401us/step - loss: 4.4515 Epoch 74/1000 147/147 [==============================] - 0s 400us/step - loss: 4.4555 Epoch 75/1000 147/147 [==============================] - 0s 424us/step - loss: 4.5417 Epoch 76/1000 147/147 [==============================] - 0s 390us/step - loss: 5.0168 Epoch 77/1000 147/147 [==============================] - 0s 388us/step - loss: 5.4007 Epoch 78/1000 147/147 [==============================] - 0s 372us/step - loss: 5.0858 Epoch 79/1000 147/147 [==============================] - 0s 363us/step - loss: 5.2415 Epoch 80/1000 147/147 [==============================] - 0s 370us/step - loss: 5.4138 Epoch 81/1000 147/147 [==============================] - 0s 369us/step - loss: 5.4045 Epoch 82/1000 147/147 [==============================] - 0s 361us/step - loss: 4.6537 Epoch 83/1000 147/147 [==============================] - 0s 355us/step - loss: 4.6105 Epoch 84/1000 147/147 [==============================] - 0s 374us/step - loss: 4.5548 Epoch 85/1000 147/147 [==============================] - 0s 354us/step - loss: 4.6577 Epoch 86/1000 147/147 [==============================] - 0s 368us/step - loss: 4.4268 Epoch 87/1000 147/147 [==============================] - 0s 366us/step - loss: 4.3123 Epoch 88/1000 147/147 [==============================] - 0s 389us/step - loss: 4.2561 Epoch 89/1000 147/147 [==============================] - 0s 399us/step - loss: 4.4888 Epoch 90/1000 147/147 [==============================] - 0s 387us/step - loss: 4.6788 Epoch 91/1000 147/147 [==============================] - 0s 399us/step - loss: 4.4259 Epoch 92/1000 147/147 [==============================] - 0s 385us/step - loss: 5.0529 Epoch 93/1000 147/147 [==============================] - 0s 353us/step - loss: 4.6332 Epoch 94/1000 147/147 [==============================] - 0s 363us/step - loss: 4.3602 Epoch 95/1000 147/147 [==============================] - 0s 369us/step - loss: 4.1626 Epoch 96/1000 147/147 [==============================] - 0s 361us/step - loss: 4.2555 Epoch 97/1000 147/147 [==============================] - 0s 362us/step - loss: 4.3303 Epoch 98/1000 147/147 [==============================] - 0s 362us/step - loss: 4.3453 Epoch 99/1000 147/147 [==============================] - 0s 362us/step - loss: 5.4892 Epoch 100/1000 147/147 [==============================] - 0s 349us/step - loss: 5.6857 Epoch 101/1000 147/147 [==============================] - 0s 356us/step - loss: 4.9483 Epoch 102/1000 147/147 [==============================] - 0s 351us/step - loss: 4.3975 Epoch 103/1000 147/147 [==============================] - 0s 361us/step - loss: 4.1742 Epoch 104/1000 147/147 [==============================] - 0s 348us/step - loss: 4.3863 Epoch 105/1000 147/147 [==============================] - 0s 350us/step - loss: 4.5192 Epoch 106/1000 147/147 [==============================] - 0s 363us/step - loss: 4.3827 Epoch 107/1000 147/147 [==============================] - 0s 359us/step - loss: 4.2770 Epoch 108/1000 147/147 [==============================] - 0s 355us/step - loss: 4.3652 Epoch 109/1000 147/147 [==============================] - 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0s 353us/step - loss: 5.3540 Epoch 122/1000 147/147 [==============================] - 0s 356us/step - loss: 4.6877 Epoch 123/1000 147/147 [==============================] - 0s 355us/step - loss: 5.0342 Epoch 124/1000 147/147 [==============================] - 0s 358us/step - loss: 5.9465 Epoch 125/1000 147/147 [==============================] - 0s 359us/step - loss: 5.5294 Epoch 126/1000 147/147 [==============================] - 0s 358us/step - loss: 5.1753 Epoch 127/1000 147/147 [==============================] - 0s 351us/step - loss: 4.3225 Epoch 128/1000 147/147 [==============================] - 0s 358us/step - loss: 4.8975 Epoch 129/1000 147/147 [==============================] - 0s 358us/step - loss: 4.4615 Epoch 130/1000 147/147 [==============================] - 0s 360us/step - loss: 6.8151 Epoch 131/1000 147/147 [==============================] - 0s 354us/step - loss: 6.0688 Epoch 132/1000 147/147 [==============================] - 0s 369us/step - loss: 5.7133 Epoch 133/1000 147/147 [==============================] - 0s 379us/step - loss: 4.5838 Epoch 134/1000 147/147 [==============================] - 0s 362us/step - loss: 6.5696 Epoch 135/1000 147/147 [==============================] - 0s 364us/step - loss: 5.2140 Epoch 136/1000 147/147 [==============================] - 0s 373us/step - loss: 5.3189 Epoch 137/1000 147/147 [==============================] - 0s 361us/step - loss: 4.5784 Epoch 138/1000 147/147 [==============================] - 0s 366us/step - loss: 4.1350 Epoch 139/1000 147/147 [==============================] - 0s 363us/step - loss: 4.0743 Epoch 140/1000 147/147 [==============================] - 0s 372us/step - loss: 4.3317 Epoch 141/1000 147/147 [==============================] - 0s 376us/step - loss: 4.2628 Epoch 142/1000 147/147 [==============================] - 0s 358us/step - loss: 4.6467 Epoch 143/1000 147/147 [==============================] - 0s 350us/step - loss: 7.3386 Epoch 144/1000 147/147 [==============================] - 0s 376us/step - loss: 6.4852 Epoch 145/1000 147/147 [==============================] - 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0s 351us/step - loss: 4.0938 Epoch 194/1000 147/147 [==============================] - 0s 355us/step - loss: 4.1396 Epoch 195/1000 147/147 [==============================] - 0s 359us/step - loss: 4.3695 Epoch 196/1000 147/147 [==============================] - 0s 358us/step - loss: 4.9812 Epoch 197/1000 147/147 [==============================] - 0s 351us/step - loss: 4.1088 Epoch 198/1000 147/147 [==============================] - 0s 358us/step - loss: 5.2409 Epoch 199/1000 147/147 [==============================] - 0s 365us/step - loss: 5.2090 Epoch 200/1000 147/147 [==============================] - 0s 376us/step - loss: 4.5926 Epoch 201/1000 147/147 [==============================] - 0s 366us/step - loss: 5.0615 Epoch 202/1000 147/147 [==============================] - 0s 362us/step - loss: 4.2501 Epoch 203/1000 147/147 [==============================] - 0s 374us/step - loss: 4.5208 Epoch 204/1000 147/147 [==============================] - 0s 357us/step - loss: 4.2751 Epoch 205/1000 147/147 [==============================] - 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0s 357us/step - loss: 4.7256 Epoch 218/1000 147/147 [==============================] - 0s 360us/step - loss: 5.9819 Epoch 219/1000 147/147 [==============================] - 0s 365us/step - loss: 4.7233 Epoch 220/1000 147/147 [==============================] - 0s 353us/step - loss: 4.8359 Epoch 221/1000 147/147 [==============================] - 0s 352us/step - loss: 4.1476 Epoch 222/1000 147/147 [==============================] - 0s 354us/step - loss: 4.0223 Epoch 223/1000 147/147 [==============================] - 0s 355us/step - loss: 4.3254 Epoch 224/1000 147/147 [==============================] - 0s 366us/step - loss: 5.0129 Epoch 225/1000 147/147 [==============================] - 0s 365us/step - loss: 4.0806 Epoch 226/1000 147/147 [==============================] - 0s 355us/step - loss: 4.3996 Epoch 227/1000 147/147 [==============================] - 0s 371us/step - loss: 3.8870 Epoch 228/1000 147/147 [==============================] - 0s 368us/step - loss: 3.9151 Epoch 229/1000 147/147 [==============================] - 0s 371us/step - loss: 4.2257 Epoch 230/1000 147/147 [==============================] - 0s 364us/step - loss: 5.9711 Epoch 231/1000 147/147 [==============================] - 0s 368us/step - loss: 6.8480 Epoch 232/1000 147/147 [==============================] - 0s 369us/step - loss: 8.5549 Epoch 233/1000 147/147 [==============================] - 0s 354us/step - loss: 9.8137 Epoch 234/1000 147/147 [==============================] - 0s 368us/step - loss: 13.9492 Epoch 235/1000 147/147 [==============================] - 0s 353us/step - loss: 10.0832 Epoch 236/1000 147/147 [==============================] - 0s 349us/step - loss: 11.1633 Epoch 237/1000 147/147 [==============================] - 0s 364us/step - loss: 7.6811 Epoch 238/1000 147/147 [==============================] - 0s 352us/step - loss: 6.5950 Epoch 239/1000 147/147 [==============================] - 0s 348us/step - loss: 5.1168 Epoch 240/1000 147/147 [==============================] - 0s 362us/step - loss: 5.3717 Epoch 241/1000 147/147 [==============================] - 0s 364us/step - loss: 4.9052 Epoch 242/1000 147/147 [==============================] - 0s 357us/step - loss: 3.8764 Epoch 243/1000 147/147 [==============================] - 0s 353us/step - loss: 3.9151 Epoch 244/1000 147/147 [==============================] - 0s 349us/step - loss: 4.3331 Epoch 245/1000 147/147 [==============================] - 0s 349us/step - loss: 4.8683 Epoch 246/1000 147/147 [==============================] - 0s 356us/step - loss: 6.2303 Epoch 247/1000 147/147 [==============================] - 0s 356us/step - loss: 5.1094 Epoch 248/1000 147/147 [==============================] - 0s 357us/step - loss: 6.4474 Epoch 249/1000 147/147 [==============================] - 0s 349us/step - loss: 6.9357 Epoch 250/1000 147/147 [==============================] - 0s 350us/step - loss: 6.8270 Epoch 251/1000 147/147 [==============================] - 0s 352us/step - loss: 9.2659 Epoch 252/1000 147/147 [==============================] - 0s 356us/step - loss: 8.2425 Epoch 253/1000 147/147 [==============================] - 0s 363us/step - loss: 15.6559 Epoch 254/1000 147/147 [==============================] - 0s 404us/step - loss: 16.1182 Epoch 255/1000 147/147 [==============================] - 0s 366us/step - loss: 9.4096 Epoch 256/1000 147/147 [==============================] - 0s 357us/step - loss: 9.3902 Epoch 257/1000 147/147 [==============================] - 0s 357us/step - loss: 7.5681 Epoch 258/1000 147/147 [==============================] - 0s 342us/step - loss: 11.0557 Epoch 259/1000 147/147 [==============================] - 0s 344us/step - loss: 5.8323 Epoch 260/1000 147/147 [==============================] - 0s 380us/step - loss: 4.7019 Epoch 261/1000 147/147 [==============================] - 0s 353us/step - loss: 4.4857 Epoch 262/1000 147/147 [==============================] - 0s 380us/step - loss: 3.8214 Epoch 263/1000 147/147 [==============================] - 0s 369us/step - loss: 3.9110 Epoch 264/1000 147/147 [==============================] - 0s 364us/step - loss: 4.6163 Epoch 265/1000 147/147 [==============================] - 0s 361us/step - loss: 6.4555 Epoch 266/1000 147/147 [==============================] - 0s 355us/step - loss: 5.9937 Epoch 267/1000 147/147 [==============================] - 0s 343us/step - loss: 5.6850 Epoch 268/1000 147/147 [==============================] - 0s 350us/step - loss: 4.3780 Epoch 269/1000 147/147 [==============================] - 0s 349us/step - loss: 4.4253 Epoch 270/1000 147/147 [==============================] - 0s 368us/step - loss: 3.7136 Epoch 271/1000 147/147 [==============================] - 0s 357us/step - loss: 5.0294 Epoch 272/1000 147/147 [==============================] - 0s 351us/step - loss: 5.1714 Epoch 273/1000 147/147 [==============================] - 0s 354us/step - loss: 5.1261 Epoch 274/1000 147/147 [==============================] - 0s 354us/step - loss: 4.3797 Epoch 275/1000 147/147 [==============================] - 0s 359us/step - loss: 4.1532 Epoch 276/1000 147/147 [==============================] - 0s 352us/step - loss: 3.6451 Epoch 277/1000 147/147 [==============================] - 0s 366us/step - loss: 3.5964 Epoch 278/1000 147/147 [==============================] - 0s 354us/step - loss: 4.0320 Epoch 279/1000 147/147 [==============================] - 0s 348us/step - loss: 4.5079 Epoch 280/1000 147/147 [==============================] - 0s 359us/step - loss: 4.0787 Epoch 281/1000 147/147 [==============================] - 0s 363us/step - loss: 7.5379 Epoch 282/1000 147/147 [==============================] - 0s 356us/step - loss: 6.0773 Epoch 283/1000 147/147 [==============================] - 0s 350us/step - loss: 7.0668 Epoch 284/1000 147/147 [==============================] - 0s 353us/step - loss: 7.2232 Epoch 285/1000 147/147 [==============================] - 0s 355us/step - loss: 6.7746 Epoch 286/1000 147/147 [==============================] - 0s 354us/step - loss: 6.0022 Epoch 287/1000 147/147 [==============================] - 0s 362us/step - loss: 4.6707 Epoch 288/1000 147/147 [==============================] - 0s 384us/step - loss: 4.2444 Epoch 289/1000 147/147 [==============================] - 0s 358us/step - loss: 4.3864 Epoch 290/1000 147/147 [==============================] - 0s 357us/step - loss: 3.7690 Epoch 291/1000 147/147 [==============================] - 0s 364us/step - loss: 3.5512 Epoch 292/1000 147/147 [==============================] - 0s 349us/step - loss: 3.8544 Epoch 293/1000 147/147 [==============================] - 0s 351us/step - loss: 3.9479 Epoch 294/1000 147/147 [==============================] - 0s 353us/step - loss: 3.8969 Epoch 295/1000 147/147 [==============================] - 0s 355us/step - loss: 3.6947 Epoch 296/1000 147/147 [==============================] - 0s 356us/step - loss: 3.6348 Epoch 297/1000 147/147 [==============================] - 0s 359us/step - loss: 4.3884 Epoch 298/1000 147/147 [==============================] - 0s 352us/step - loss: 4.8644 Epoch 299/1000 147/147 [==============================] - 0s 353us/step - loss: 4.2423 Epoch 300/1000 147/147 [==============================] - 0s 352us/step - loss: 4.2535 Epoch 301/1000 147/147 [==============================] - 0s 352us/step - loss: 5.1057 Epoch 302/1000 147/147 [==============================] - 0s 359us/step - loss: 4.3526 Epoch 303/1000 147/147 [==============================] - 0s 355us/step - loss: 3.6800 Epoch 304/1000 147/147 [==============================] - 0s 350us/step - loss: 4.0388 Epoch 305/1000 147/147 [==============================] - 0s 358us/step - loss: 5.6078 Epoch 306/1000 147/147 [==============================] - 0s 374us/step - loss: 4.1050 Epoch 307/1000 147/147 [==============================] - 0s 366us/step - loss: 4.5708 Epoch 308/1000 147/147 [==============================] - 0s 356us/step - loss: 4.6224 Epoch 309/1000 147/147 [==============================] - 0s 364us/step - loss: 8.0107 Epoch 310/1000 147/147 [==============================] - 0s 356us/step - loss: 6.9517 Epoch 311/1000 147/147 [==============================] - 0s 361us/step - loss: 4.3848 Epoch 312/1000 147/147 [==============================] - 0s 357us/step - loss: 3.7996 Epoch 313/1000 147/147 [==============================] - 0s 348us/step - loss: 3.7176 Epoch 314/1000 147/147 [==============================] - 0s 355us/step - loss: 3.8824 Epoch 315/1000 147/147 [==============================] - 0s 356us/step - loss: 3.6716 Epoch 316/1000 147/147 [==============================] - 0s 352us/step - loss: 4.9585 Epoch 317/1000 147/147 [==============================] - 0s 359us/step - loss: 6.7692 Epoch 318/1000 147/147 [==============================] - 0s 354us/step - loss: 7.2993 Epoch 319/1000 147/147 [==============================] - 0s 356us/step - loss: 5.6166 Epoch 320/1000 147/147 [==============================] - 0s 355us/step - loss: 6.7901 Epoch 321/1000 147/147 [==============================] - 0s 359us/step - loss: 10.4799 Epoch 322/1000 147/147 [==============================] - 0s 365us/step - loss: 7.8334 Epoch 323/1000 147/147 [==============================] - 0s 355us/step - loss: 5.8489 Epoch 324/1000 147/147 [==============================] - 0s 352us/step - loss: 6.9185 Epoch 325/1000 147/147 [==============================] - 0s 348us/step - loss: 4.7906 Epoch 326/1000 147/147 [==============================] - 0s 355us/step - loss: 3.9008 Epoch 327/1000 147/147 [==============================] - 0s 350us/step - loss: 3.7804 Epoch 328/1000 147/147 [==============================] - 0s 364us/step - loss: 6.5070 Epoch 329/1000 147/147 [==============================] - 0s 360us/step - loss: 5.6387 Epoch 330/1000 147/147 [==============================] - 0s 349us/step - loss: 4.3162 Epoch 331/1000 147/147 [==============================] - 0s 356us/step - loss: 4.9321 Epoch 332/1000 147/147 [==============================] - 0s 355us/step - loss: 5.8757 Epoch 333/1000 147/147 [==============================] - 0s 356us/step - loss: 5.8903 Epoch 334/1000 147/147 [==============================] - 0s 354us/step - loss: 8.4726 Epoch 335/1000 147/147 [==============================] - 0s 353us/step - loss: 5.3814 Epoch 336/1000 147/147 [==============================] - 0s 348us/step - loss: 6.3440 Epoch 337/1000 147/147 [==============================] - 0s 349us/step - loss: 9.0495 Epoch 338/1000 147/147 [==============================] - 0s 352us/step - loss: 9.6936 Epoch 339/1000 147/147 [==============================] - 0s 365us/step - loss: 12.4233 Epoch 340/1000 147/147 [==============================] - 0s 348us/step - loss: 11.5873 Epoch 341/1000 147/147 [==============================] - 0s 356us/step - loss: 6.7267 Epoch 342/1000 147/147 [==============================] - 0s 342us/step - loss: 7.7097 Epoch 343/1000 147/147 [==============================] - 0s 349us/step - loss: 10.1029 Epoch 344/1000 147/147 [==============================] - 0s 349us/step - loss: 9.9369 Epoch 345/1000 147/147 [==============================] - 0s 362us/step - loss: 7.3287 Epoch 346/1000 147/147 [==============================] - 0s 357us/step - loss: 7.2175 Epoch 347/1000 147/147 [==============================] - 0s 358us/step - loss: 5.9126 Epoch 348/1000 147/147 [==============================] - 0s 347us/step - loss: 6.0278 Epoch 349/1000 147/147 [==============================] - 0s 348us/step - loss: 3.6683 Epoch 350/1000 147/147 [==============================] - 0s 352us/step - loss: 4.9065 Epoch 351/1000 147/147 [==============================] - 0s 367us/step - loss: 9.4109 Epoch 352/1000 147/147 [==============================] - 0s 350us/step - loss: 7.9324 Epoch 353/1000 147/147 [==============================] - 0s 352us/step - loss: 6.7259 Epoch 354/1000 147/147 [==============================] - 0s 357us/step - loss: 8.0225 Epoch 355/1000 147/147 [==============================] - 0s 349us/step - loss: 9.4958 Epoch 356/1000 147/147 [==============================] - 0s 345us/step - loss: 6.8304 Epoch 357/1000 147/147 [==============================] - 0s 354us/step - loss: 5.5828 Epoch 358/1000 147/147 [==============================] - 0s 353us/step - loss: 6.2191 Epoch 359/1000 147/147 [==============================] - 0s 363us/step - loss: 4.2630 Epoch 360/1000 147/147 [==============================] - 0s 349us/step - loss: 4.3606 Epoch 361/1000 147/147 [==============================] - 0s 355us/step - loss: 4.7603 Epoch 362/1000 147/147 [==============================] - 0s 354us/step - loss: 4.4295 Epoch 363/1000 147/147 [==============================] - 0s 352us/step - loss: 5.4586 Epoch 364/1000 147/147 [==============================] - 0s 355us/step - loss: 5.8611 Epoch 365/1000 147/147 [==============================] - 0s 370us/step - loss: 4.8655 Epoch 366/1000 147/147 [==============================] - 0s 352us/step - loss: 4.0900 Epoch 367/1000 147/147 [==============================] - 0s 349us/step - loss: 5.4183 Epoch 368/1000 147/147 [==============================] - 0s 372us/step - loss: 6.8228 Epoch 369/1000 147/147 [==============================] - 0s 369us/step - loss: 6.8751 Epoch 370/1000 147/147 [==============================] - 0s 369us/step - loss: 6.7403 Epoch 371/1000 147/147 [==============================] - 0s 362us/step - loss: 4.8277 Epoch 372/1000 147/147 [==============================] - 0s 364us/step - loss: 3.9015 Epoch 373/1000 147/147 [==============================] - 0s 363us/step - loss: 4.9325 Epoch 374/1000 147/147 [==============================] - 0s 351us/step - loss: 6.1444 Epoch 375/1000 147/147 [==============================] - 0s 353us/step - loss: 4.4607 Epoch 376/1000 147/147 [==============================] - 0s 351us/step - loss: 4.0797 Epoch 377/1000 147/147 [==============================] - 0s 351us/step - loss: 3.8660 Epoch 378/1000 147/147 [==============================] - 0s 354us/step - loss: 3.7012 Epoch 379/1000 147/147 [==============================] - 0s 355us/step - loss: 3.5895 Epoch 380/1000 147/147 [==============================] - 0s 361us/step - loss: 5.5584 Epoch 381/1000 147/147 [==============================] - 0s 351us/step - loss: 5.9795 Epoch 382/1000 147/147 [==============================] - 0s 351us/step - loss: 4.3346 Epoch 383/1000 147/147 [==============================] - 0s 370us/step - loss: 3.7321 Epoch 384/1000 147/147 [==============================] - 0s 352us/step - loss: 4.5826 Epoch 385/1000 147/147 [==============================] - 0s 356us/step - loss: 3.5524 Epoch 386/1000 147/147 [==============================] - 0s 351us/step - loss: 4.0282 Epoch 387/1000 147/147 [==============================] - 0s 358us/step - loss: 4.9265 Epoch 388/1000 147/147 [==============================] - 0s 355us/step - loss: 8.7873 Epoch 389/1000 147/147 [==============================] - 0s 355us/step - loss: 5.5711 Epoch 390/1000 147/147 [==============================] - 0s 359us/step - loss: 6.9118 Epoch 391/1000 147/147 [==============================] - 0s 356us/step - loss: 14.1132 Epoch 392/1000 147/147 [==============================] - 0s 350us/step - loss: 10.0417 Epoch 393/1000 147/147 [==============================] - 0s 362us/step - loss: 15.1376 Epoch 394/1000 147/147 [==============================] - 0s 346us/step - loss: 10.4671 Epoch 395/1000 147/147 [==============================] - 0s 355us/step - loss: 8.1742 Epoch 396/1000 147/147 [==============================] - 0s 362us/step - loss: 6.8777 Epoch 397/1000 147/147 [==============================] - 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0s 355us/step - loss: 4.4112 Epoch 410/1000 147/147 [==============================] - 0s 356us/step - loss: 3.8587 Epoch 411/1000 147/147 [==============================] - 0s 360us/step - loss: 4.8843 Epoch 412/1000 147/147 [==============================] - 0s 353us/step - loss: 4.6367 Epoch 413/1000 147/147 [==============================] - 0s 360us/step - loss: 5.5787 Epoch 414/1000 147/147 [==============================] - 0s 358us/step - loss: 6.9807 Epoch 415/1000 147/147 [==============================] - 0s 363us/step - loss: 5.0029 Epoch 416/1000 147/147 [==============================] - 0s 360us/step - loss: 4.0807 Epoch 417/1000 147/147 [==============================] - 0s 362us/step - loss: 4.0075 Epoch 418/1000 147/147 [==============================] - 0s 354us/step - loss: 4.6515 Epoch 419/1000 147/147 [==============================] - 0s 345us/step - loss: 4.3931 Epoch 420/1000 147/147 [==============================] - 0s 344us/step - loss: 4.2521 Epoch 421/1000 147/147 [==============================] - 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0s 344us/step - loss: 17.0164 Epoch 446/1000 147/147 [==============================] - 0s 348us/step - loss: 8.2113 Epoch 447/1000 147/147 [==============================] - 0s 358us/step - loss: 6.3205 Epoch 448/1000 147/147 [==============================] - 0s 356us/step - loss: 4.0636 Epoch 449/1000 147/147 [==============================] - 0s 354us/step - loss: 4.3230 Epoch 450/1000 147/147 [==============================] - 0s 355us/step - loss: 6.5604 Epoch 451/1000 147/147 [==============================] - 0s 349us/step - loss: 7.8354 Epoch 452/1000 147/147 [==============================] - 0s 356us/step - loss: 7.7892 Epoch 453/1000 147/147 [==============================] - 0s 356us/step - loss: 7.8031 Epoch 454/1000 147/147 [==============================] - 0s 350us/step - loss: 6.3175 Epoch 455/1000 147/147 [==============================] - 0s 351us/step - loss: 4.0831 Epoch 456/1000 147/147 [==============================] - 0s 357us/step - loss: 5.9867 Epoch 457/1000 147/147 [==============================] - 0s 344us/step - loss: 6.4831 Epoch 458/1000 147/147 [==============================] - 0s 354us/step - loss: 4.8064 Epoch 459/1000 147/147 [==============================] - 0s 353us/step - loss: 7.7393 Epoch 460/1000 147/147 [==============================] - 0s 355us/step - loss: 8.6712 Epoch 461/1000 147/147 [==============================] - 0s 349us/step - loss: 8.3584 Epoch 462/1000 147/147 [==============================] - 0s 353us/step - loss: 6.3134 Epoch 463/1000 147/147 [==============================] - 0s 357us/step - loss: 8.1480 Epoch 464/1000 147/147 [==============================] - 0s 347us/step - loss: 8.5332 Epoch 465/1000 147/147 [==============================] - 0s 348us/step - loss: 5.7240 Epoch 466/1000 147/147 [==============================] - 0s 359us/step - loss: 5.3491 Epoch 467/1000 147/147 [==============================] - 0s 356us/step - loss: 4.5731 Epoch 468/1000 147/147 [==============================] - 0s 348us/step - loss: 4.7510 Epoch 469/1000 147/147 [==============================] - 0s 352us/step - loss: 4.2029 Epoch 470/1000 147/147 [==============================] - 0s 354us/step - loss: 3.6011 Epoch 471/1000 147/147 [==============================] - 0s 357us/step - loss: 3.8264 Epoch 472/1000 147/147 [==============================] - 0s 355us/step - loss: 3.4503 Epoch 473/1000 147/147 [==============================] - 0s 355us/step - loss: 3.3222 Epoch 474/1000 147/147 [==============================] - 0s 357us/step - loss: 3.6506 Epoch 475/1000 147/147 [==============================] - 0s 352us/step - loss: 3.5000 Epoch 476/1000 147/147 [==============================] - 0s 350us/step - loss: 3.4491 Epoch 477/1000 147/147 [==============================] - 0s 355us/step - loss: 3.5439 Epoch 478/1000 147/147 [==============================] - 0s 353us/step - loss: 3.7406 Epoch 479/1000 147/147 [==============================] - 0s 358us/step - loss: 3.4487 Epoch 480/1000 147/147 [==============================] - 0s 350us/step - loss: 5.1098 Epoch 481/1000 147/147 [==============================] - 0s 355us/step - loss: 5.0136 Epoch 482/1000 147/147 [==============================] - 0s 358us/step - loss: 4.5121 Epoch 483/1000 147/147 [==============================] - 0s 355us/step - loss: 4.5722 Epoch 484/1000 147/147 [==============================] - 0s 362us/step - loss: 6.4920 Epoch 485/1000 147/147 [==============================] - 0s 357us/step - loss: 4.6327 Epoch 486/1000 147/147 [==============================] - 0s 364us/step - loss: 4.0781 Epoch 487/1000 147/147 [==============================] - 0s 350us/step - loss: 3.3357 Epoch 488/1000 147/147 [==============================] - 0s 361us/step - loss: 6.4321 Epoch 489/1000 147/147 [==============================] - 0s 355us/step - loss: 6.8908 Epoch 490/1000 147/147 [==============================] - 0s 349us/step - loss: 8.7972 Epoch 491/1000 147/147 [==============================] - 0s 358us/step - loss: 9.7350 Epoch 492/1000 147/147 [==============================] - 0s 359us/step - loss: 17.9464 Epoch 493/1000 147/147 [==============================] - 0s 346us/step - loss: 7.0394 Epoch 494/1000 147/147 [==============================] - 0s 352us/step - loss: 6.3365 Epoch 495/1000 147/147 [==============================] - 0s 357us/step - loss: 7.3338 Epoch 496/1000 147/147 [==============================] - 0s 353us/step - loss: 5.6578 Epoch 497/1000 147/147 [==============================] - 0s 359us/step - loss: 5.9081 Epoch 498/1000 147/147 [==============================] - 0s 355us/step - loss: 4.0875 Epoch 499/1000 147/147 [==============================] - 0s 351us/step - loss: 8.5585 Epoch 500/1000 147/147 [==============================] - 0s 368us/step - loss: 10.6392 Epoch 501/1000 147/147 [==============================] - 0s 358us/step - loss: 9.8755 Epoch 502/1000 147/147 [==============================] - 0s 358us/step - loss: 5.0311 Epoch 503/1000 147/147 [==============================] - 0s 350us/step - loss: 7.9527 Epoch 504/1000 147/147 [==============================] - 0s 356us/step - loss: 4.8973 Epoch 505/1000 147/147 [==============================] - 0s 359us/step - loss: 3.9830 Epoch 506/1000 147/147 [==============================] - 0s 356us/step - loss: 5.2935 Epoch 507/1000 147/147 [==============================] - 0s 355us/step - loss: 4.3489 Epoch 508/1000 147/147 [==============================] - 0s 354us/step - loss: 10.1271 Epoch 509/1000 147/147 [==============================] - 0s 354us/step - loss: 12.9257 Epoch 510/1000 147/147 [==============================] - 0s 357us/step - loss: 8.5279 Epoch 511/1000 147/147 [==============================] - 0s 361us/step - loss: 8.9247 Epoch 512/1000 147/147 [==============================] - 0s 362us/step - loss: 7.2365 Epoch 513/1000 147/147 [==============================] - 0s 362us/step - loss: 10.9788 Epoch 514/1000 147/147 [==============================] - 0s 349us/step - loss: 7.0345 Epoch 515/1000 147/147 [==============================] - 0s 352us/step - loss: 3.5284 Epoch 516/1000 147/147 [==============================] - 0s 352us/step - loss: 4.6565 Epoch 517/1000 147/147 [==============================] - 0s 350us/step - loss: 5.7131 Epoch 518/1000 147/147 [==============================] - 0s 358us/step - loss: 6.5005 Epoch 519/1000 147/147 [==============================] - 0s 354us/step - loss: 3.3616 Epoch 520/1000 147/147 [==============================] - 0s 354us/step - loss: 3.4835 Epoch 521/1000 147/147 [==============================] - 0s 346us/step - loss: 4.2356 Epoch 522/1000 147/147 [==============================] - 0s 344us/step - loss: 5.6330 Epoch 523/1000 147/147 [==============================] - 0s 349us/step - loss: 4.1247 Epoch 524/1000 147/147 [==============================] - 0s 350us/step - loss: 3.5596 Epoch 525/1000 147/147 [==============================] - 0s 360us/step - loss: 3.4158 Epoch 526/1000 147/147 [==============================] - 0s 354us/step - loss: 3.7555 Epoch 527/1000 147/147 [==============================] - 0s 344us/step - loss: 4.1386 Epoch 528/1000 147/147 [==============================] - 0s 348us/step - loss: 9.7939 Epoch 529/1000 147/147 [==============================] - 0s 353us/step - loss: 10.8661 Epoch 530/1000 147/147 [==============================] - 0s 354us/step - loss: 9.1706 Epoch 531/1000 147/147 [==============================] - 0s 354us/step - loss: 9.4819 Epoch 532/1000 147/147 [==============================] - 0s 355us/step - loss: 13.8068 Epoch 533/1000 147/147 [==============================] - 0s 358us/step - loss: 8.5836 Epoch 534/1000 147/147 [==============================] - 0s 346us/step - loss: 10.7344 Epoch 535/1000 147/147 [==============================] - 0s 354us/step - loss: 7.9142 Epoch 536/1000 147/147 [==============================] - 0s 357us/step - loss: 7.7126 Epoch 537/1000 147/147 [==============================] - 0s 349us/step - loss: 5.0796 Epoch 538/1000 147/147 [==============================] - 0s 359us/step - loss: 4.2272 Epoch 539/1000 147/147 [==============================] - 0s 358us/step - loss: 8.9268 Epoch 540/1000 147/147 [==============================] - 0s 350us/step - loss: 4.5976 Epoch 541/1000 147/147 [==============================] - 0s 345us/step - loss: 13.5073 Epoch 542/1000 147/147 [==============================] - 0s 349us/step - loss: 15.1061 Epoch 543/1000 147/147 [==============================] - 0s 355us/step - loss: 5.3712 Epoch 544/1000 147/147 [==============================] - 0s 353us/step - loss: 3.9073 Epoch 545/1000 147/147 [==============================] - 0s 349us/step - loss: 3.5445 Epoch 546/1000 147/147 [==============================] - 0s 357us/step - loss: 8.2721 Epoch 547/1000 147/147 [==============================] - 0s 350us/step - loss: 13.6784 Epoch 548/1000 147/147 [==============================] - 0s 353us/step - loss: 15.7374 Epoch 549/1000 147/147 [==============================] - 0s 353us/step - loss: 19.1536 Epoch 550/1000 147/147 [==============================] - 0s 349us/step - loss: 13.7825 Epoch 551/1000 147/147 [==============================] - 0s 355us/step - loss: 12.5527 Epoch 552/1000 147/147 [==============================] - 0s 353us/step - loss: 4.6560 Epoch 553/1000 147/147 [==============================] - 0s 352us/step - loss: 4.9852 Epoch 554/1000 147/147 [==============================] - 0s 349us/step - loss: 5.2339 Epoch 555/1000 147/147 [==============================] - 0s 357us/step - loss: 6.2839 Epoch 556/1000 147/147 [==============================] - 0s 356us/step - loss: 4.0459 Epoch 557/1000 147/147 [==============================] - 0s 361us/step - loss: 3.3939 Epoch 558/1000 147/147 [==============================] - 0s 372us/step - loss: 2.7989 Epoch 559/1000 147/147 [==============================] - 0s 387us/step - loss: 8.7223 Epoch 560/1000 147/147 [==============================] - 0s 387us/step - loss: 6.8743 Epoch 561/1000 147/147 [==============================] - 0s 348us/step - loss: 3.2060 Epoch 562/1000 147/147 [==============================] - 0s 360us/step - loss: 4.4453 Epoch 563/1000 147/147 [==============================] - 0s 365us/step - loss: 5.0091 Epoch 564/1000 147/147 [==============================] - 0s 353us/step - loss: 4.7753 Epoch 565/1000 147/147 [==============================] - 0s 358us/step - loss: 11.2496 Epoch 566/1000 147/147 [==============================] - 0s 357us/step - loss: 6.4715 Epoch 567/1000 147/147 [==============================] - 0s 374us/step - loss: 5.4097 Epoch 568/1000 147/147 [==============================] - 0s 372us/step - loss: 7.9055 Epoch 569/1000 147/147 [==============================] - 0s 379us/step - loss: 8.5207 Epoch 570/1000 147/147 [==============================] - 0s 383us/step - loss: 4.3822 Epoch 571/1000 147/147 [==============================] - 0s 381us/step - loss: 6.0208 Epoch 572/1000 147/147 [==============================] - 0s 370us/step - loss: 9.2785 Epoch 573/1000 147/147 [==============================] - 0s 350us/step - loss: 13.1397 Epoch 574/1000 147/147 [==============================] - 0s 353us/step - loss: 16.7103 Epoch 575/1000 147/147 [==============================] - 0s 356us/step - loss: 25.6204 Epoch 576/1000 147/147 [==============================] - 0s 361us/step - loss: 25.8838 Epoch 577/1000 147/147 [==============================] - 0s 372us/step - loss: 15.7032 Epoch 578/1000 147/147 [==============================] - 0s 372us/step - loss: 20.0504 Epoch 579/1000 147/147 [==============================] - 0s 361us/step - loss: 19.5727 Epoch 580/1000 147/147 [==============================] - 0s 354us/step - loss: 16.3612 Epoch 581/1000 147/147 [==============================] - 0s 358us/step - loss: 16.0319 Epoch 582/1000 147/147 [==============================] - 0s 356us/step - loss: 10.2838 Epoch 583/1000 147/147 [==============================] - 0s 376us/step - loss: 8.8749 Epoch 584/1000 147/147 [==============================] - 0s 369us/step - loss: 4.7327 Epoch 585/1000 147/147 [==============================] - 0s 373us/step - loss: 3.2562 Epoch 586/1000 147/147 [==============================] - 0s 375us/step - loss: 5.5196 Epoch 587/1000 147/147 [==============================] - 0s 372us/step - loss: 8.1741 Epoch 588/1000 147/147 [==============================] - 0s 373us/step - loss: 3.8856 Epoch 589/1000 147/147 [==============================] - 0s 363us/step - loss: 7.0754 Epoch 590/1000 147/147 [==============================] - 0s 367us/step - loss: 5.5719 Epoch 591/1000 147/147 [==============================] - 0s 353us/step - loss: 3.8746 Epoch 592/1000 147/147 [==============================] - 0s 363us/step - loss: 3.5973 Epoch 593/1000 147/147 [==============================] - 0s 355us/step - loss: 3.1077 Epoch 594/1000 147/147 [==============================] - 0s 352us/step - loss: 6.0953 Epoch 595/1000 147/147 [==============================] - 0s 380us/step - loss: 10.1467 Epoch 596/1000 147/147 [==============================] - 0s 369us/step - loss: 6.2519 Epoch 597/1000 147/147 [==============================] - 0s 359us/step - loss: 8.1813 Epoch 598/1000 147/147 [==============================] - 0s 357us/step - loss: 13.8112 Epoch 599/1000 147/147 [==============================] - 0s 351us/step - loss: 10.6512 Epoch 600/1000 147/147 [==============================] - 0s 369us/step - loss: 4.8024 Epoch 601/1000 147/147 [==============================] - 0s 360us/step - loss: 5.1980 Epoch 602/1000 147/147 [==============================] - 0s 410us/step - loss: 8.9845 Epoch 603/1000 147/147 [==============================] - 0s 413us/step - loss: 9.8063 Epoch 604/1000 147/147 [==============================] - 0s 414us/step - loss: 4.7679 Epoch 605/1000 147/147 [==============================] - 0s 376us/step - loss: 4.1126 Epoch 606/1000 147/147 [==============================] - 0s 369us/step - loss: 5.4536 Epoch 607/1000 147/147 [==============================] - 0s 357us/step - loss: 4.1119 Epoch 608/1000 147/147 [==============================] - 0s 375us/step - loss: 4.8522 Epoch 609/1000 147/147 [==============================] - 0s 417us/step - loss: 4.2521 Epoch 610/1000 147/147 [==============================] - 0s 410us/step - loss: 3.2799 Epoch 611/1000 147/147 [==============================] - 0s 396us/step - loss: 4.7092 Epoch 612/1000 147/147 [==============================] - 0s 407us/step - loss: 13.1606 Epoch 613/1000 147/147 [==============================] - 0s 425us/step - loss: 8.5884 Epoch 614/1000 147/147 [==============================] - 0s 406us/step - loss: 4.0704 Epoch 615/1000 147/147 [==============================] - 0s 392us/step - loss: 4.0773 Epoch 616/1000 147/147 [==============================] - 0s 386us/step - loss: 3.2096 Epoch 617/1000 147/147 [==============================] - 0s 369us/step - loss: 3.7587 Epoch 618/1000 147/147 [==============================] - 0s 406us/step - loss: 5.3515 Epoch 619/1000 147/147 [==============================] - 0s 379us/step - loss: 6.4653 Epoch 620/1000 147/147 [==============================] - 0s 380us/step - loss: 8.8002 Epoch 621/1000 147/147 [==============================] - 0s 374us/step - loss: 8.2902 Epoch 622/1000 147/147 [==============================] - 0s 359us/step - loss: 4.8499 Epoch 623/1000 147/147 [==============================] - 0s 361us/step - loss: 8.1255 Epoch 624/1000 147/147 [==============================] - 0s 363us/step - loss: 5.1148 Epoch 625/1000 147/147 [==============================] - 0s 354us/step - loss: 3.6263 Epoch 626/1000 147/147 [==============================] - 0s 373us/step - loss: 3.9718 Epoch 627/1000 147/147 [==============================] - 0s 391us/step - loss: 8.3167 Epoch 628/1000 147/147 [==============================] - 0s 387us/step - loss: 5.8161 Epoch 629/1000 147/147 [==============================] - 0s 376us/step - loss: 4.1124 Epoch 630/1000 147/147 [==============================] - 0s 371us/step - loss: 3.7078 Epoch 631/1000 147/147 [==============================] - 0s 359us/step - loss: 3.8707 Epoch 632/1000 147/147 [==============================] - 0s 348us/step - loss: 3.7817 Epoch 633/1000 147/147 [==============================] - 0s 349us/step - loss: 5.8733 Epoch 634/1000 147/147 [==============================] - 0s 346us/step - loss: 5.6438 Epoch 635/1000 147/147 [==============================] - 0s 355us/step - loss: 9.0636 Epoch 636/1000 147/147 [==============================] - 0s 358us/step - loss: 3.8905 Epoch 637/1000 147/147 [==============================] - 0s 351us/step - loss: 3.4406 Epoch 638/1000 147/147 [==============================] - 0s 355us/step - loss: 4.0747 Epoch 639/1000 147/147 [==============================] - 0s 362us/step - loss: 3.5216 Epoch 640/1000 147/147 [==============================] - 0s 346us/step - loss: 5.1131 Epoch 641/1000 147/147 [==============================] - 0s 353us/step - loss: 4.5051 Epoch 642/1000 147/147 [==============================] - 0s 353us/step - loss: 4.9245 Epoch 643/1000 147/147 [==============================] - 0s 351us/step - loss: 6.3961 Epoch 644/1000 147/147 [==============================] - 0s 367us/step - loss: 9.2093 Epoch 645/1000 147/147 [==============================] - 0s 349us/step - loss: 4.8039 Epoch 646/1000 147/147 [==============================] - 0s 360us/step - loss: 2.9692 Epoch 647/1000 147/147 [==============================] - 0s 359us/step - loss: 2.7731 Epoch 648/1000 147/147 [==============================] - 0s 355us/step - loss: 5.7793 Epoch 649/1000 147/147 [==============================] - 0s 367us/step - loss: 6.2384 Epoch 650/1000 147/147 [==============================] - 0s 349us/step - loss: 5.4995 Epoch 651/1000 147/147 [==============================] - 0s 350us/step - loss: 7.9646 Epoch 652/1000 147/147 [==============================] - 0s 362us/step - loss: 4.1008 Epoch 653/1000 147/147 [==============================] - 0s 348us/step - loss: 4.8989 Epoch 654/1000 147/147 [==============================] - 0s 353us/step - loss: 4.6762 Epoch 655/1000 147/147 [==============================] - 0s 348us/step - loss: 5.7937 Epoch 656/1000 147/147 [==============================] - 0s 351us/step - loss: 2.9854 Epoch 657/1000 147/147 [==============================] - 0s 357us/step - loss: 3.7229 Epoch 658/1000 147/147 [==============================] - 0s 347us/step - loss: 3.6365 Epoch 659/1000 147/147 [==============================] - 0s 357us/step - loss: 3.7071 Epoch 660/1000 147/147 [==============================] - 0s 355us/step - loss: 4.7650 Epoch 661/1000 147/147 [==============================] - 0s 355us/step - loss: 3.9549 Epoch 662/1000 147/147 [==============================] - 0s 349us/step - loss: 9.3285 Epoch 663/1000 147/147 [==============================] - 0s 355us/step - loss: 6.7645 Epoch 664/1000 147/147 [==============================] - 0s 353us/step - loss: 3.5920 Epoch 665/1000 147/147 [==============================] - 0s 356us/step - loss: 6.2712 Epoch 666/1000 147/147 [==============================] - 0s 364us/step - loss: 7.3297 Epoch 667/1000 147/147 [==============================] - 0s 375us/step - loss: 9.6630 Epoch 668/1000 147/147 [==============================] - 0s 341us/step - loss: 5.6554 Epoch 669/1000 147/147 [==============================] - 0s 356us/step - loss: 4.3853 Epoch 670/1000 147/147 [==============================] - 0s 363us/step - loss: 3.4549 Epoch 671/1000 147/147 [==============================] - 0s 355us/step - loss: 6.4407 Epoch 672/1000 147/147 [==============================] - 0s 359us/step - loss: 6.7275 Epoch 673/1000 147/147 [==============================] - 0s 361us/step - loss: 13.1311 Epoch 674/1000 147/147 [==============================] - 0s 355us/step - loss: 4.5732 Epoch 675/1000 147/147 [==============================] - 0s 357us/step - loss: 5.6913 Epoch 676/1000 147/147 [==============================] - 0s 361us/step - loss: 18.2700 Epoch 677/1000 147/147 [==============================] - 0s 356us/step - loss: 21.6808 Epoch 678/1000 147/147 [==============================] - 0s 353us/step - loss: 12.7462 Epoch 679/1000 147/147 [==============================] - 0s 357us/step - loss: 13.8414 Epoch 680/1000 147/147 [==============================] - 0s 358us/step - loss: 26.1413 Epoch 681/1000 147/147 [==============================] - 0s 367us/step - loss: 20.6984 Epoch 682/1000 147/147 [==============================] - 0s 353us/step - loss: 12.2464 Epoch 683/1000 147/147 [==============================] - 0s 347us/step - loss: 9.7103 Epoch 684/1000 147/147 [==============================] - 0s 353us/step - loss: 2.9847 Epoch 685/1000 147/147 [==============================] - 0s 358us/step - loss: 6.3610 Epoch 686/1000 147/147 [==============================] - 0s 361us/step - loss: 20.1793 Epoch 687/1000 147/147 [==============================] - 0s 360us/step - loss: 14.8392 Epoch 688/1000 147/147 [==============================] - 0s 351us/step - loss: 14.1991 Epoch 689/1000 147/147 [==============================] - 0s 359us/step - loss: 3.2782 Epoch 690/1000 147/147 [==============================] - 0s 356us/step - loss: 3.9435 Epoch 691/1000 147/147 [==============================] - 0s 348us/step - loss: 3.7009 Epoch 692/1000 147/147 [==============================] - 0s 360us/step - loss: 3.0041 Epoch 693/1000 147/147 [==============================] - 0s 353us/step - loss: 3.4384 Epoch 694/1000 147/147 [==============================] - 0s 352us/step - loss: 3.2994 Epoch 695/1000 147/147 [==============================] - 0s 346us/step - loss: 2.9293 Epoch 696/1000 147/147 [==============================] - 0s 359us/step - loss: 5.6271 Epoch 697/1000 147/147 [==============================] - 0s 361us/step - loss: 4.7009 Epoch 698/1000 147/147 [==============================] - 0s 383us/step - loss: 3.4587 Epoch 699/1000 147/147 [==============================] - 0s 381us/step - loss: 4.3586 Epoch 700/1000 147/147 [==============================] - 0s 368us/step - loss: 9.3989 Epoch 701/1000 147/147 [==============================] - 0s 356us/step - loss: 9.3134 Epoch 702/1000 147/147 [==============================] - 0s 346us/step - loss: 11.8355 Epoch 703/1000 147/147 [==============================] - 0s 351us/step - loss: 11.3660 Epoch 704/1000 147/147 [==============================] - 0s 344us/step - loss: 7.1721 Epoch 705/1000 147/147 [==============================] - 0s 358us/step - loss: 6.5328 Epoch 706/1000 147/147 [==============================] - 0s 348us/step - loss: 6.1576 Epoch 707/1000 147/147 [==============================] - 0s 362us/step - loss: 8.9873 Epoch 708/1000 147/147 [==============================] - 0s 383us/step - loss: 11.2415 Epoch 709/1000 147/147 [==============================] - 0s 396us/step - loss: 16.7064 Epoch 710/1000 147/147 [==============================] - 0s 379us/step - loss: 17.3711 Epoch 711/1000 147/147 [==============================] - 0s 363us/step - loss: 16.1150 Epoch 712/1000 147/147 [==============================] - 0s 358us/step - loss: 17.0216 Epoch 713/1000 147/147 [==============================] - 0s 357us/step - loss: 13.1530 Epoch 714/1000 147/147 [==============================] - 0s 356us/step - loss: 6.6281 Epoch 715/1000 147/147 [==============================] - 0s 355us/step - loss: 13.8224 Epoch 716/1000 147/147 [==============================] - 0s 358us/step - loss: 7.3766 Epoch 717/1000 147/147 [==============================] - 0s 366us/step - loss: 3.4397 Epoch 718/1000 147/147 [==============================] - 0s 353us/step - loss: 4.9785 Epoch 719/1000 147/147 [==============================] - 0s 356us/step - loss: 5.1649 Epoch 720/1000 147/147 [==============================] - 0s 352us/step - loss: 6.4054 Epoch 721/1000 147/147 [==============================] - 0s 351us/step - loss: 10.7441 Epoch 722/1000 147/147 [==============================] - 0s 358us/step - loss: 19.2933 Epoch 723/1000 147/147 [==============================] - 0s 356us/step - loss: 10.9627 Epoch 724/1000 147/147 [==============================] - 0s 351us/step - loss: 4.0868 Epoch 725/1000 147/147 [==============================] - 0s 355us/step - loss: 3.2276 Epoch 726/1000 147/147 [==============================] - 0s 356us/step - loss: 3.1238 Epoch 727/1000 147/147 [==============================] - 0s 357us/step - loss: 3.5777 Epoch 728/1000 147/147 [==============================] - 0s 359us/step - loss: 3.4674 Epoch 729/1000 147/147 [==============================] - 0s 362us/step - loss: 3.5308 Epoch 730/1000 147/147 [==============================] - 0s 352us/step - loss: 5.3209 Epoch 731/1000 147/147 [==============================] - 0s 354us/step - loss: 8.9960 Epoch 732/1000 147/147 [==============================] - 0s 348us/step - loss: 6.4157 Epoch 733/1000 147/147 [==============================] - 0s 360us/step - loss: 3.8703 Epoch 734/1000 147/147 [==============================] - 0s 350us/step - loss: 3.9606 Epoch 735/1000 147/147 [==============================] - 0s 356us/step - loss: 4.5481 Epoch 736/1000 147/147 [==============================] - 0s 365us/step - loss: 7.8983 Epoch 737/1000 147/147 [==============================] - 0s 370us/step - loss: 19.5814 Epoch 738/1000 147/147 [==============================] - 0s 368us/step - loss: 20.0276 Epoch 739/1000 147/147 [==============================] - 0s 356us/step - loss: 19.7352 Epoch 740/1000 147/147 [==============================] - 0s 355us/step - loss: 10.7926 Epoch 741/1000 147/147 [==============================] - 0s 348us/step - loss: 3.8672 Epoch 742/1000 147/147 [==============================] - 0s 343us/step - loss: 3.6163 Epoch 743/1000 147/147 [==============================] - 0s 351us/step - loss: 3.6499 Epoch 744/1000 147/147 [==============================] - 0s 351us/step - loss: 4.1032 Epoch 745/1000 147/147 [==============================] - 0s 367us/step - loss: 2.8560 Epoch 746/1000 147/147 [==============================] - 0s 357us/step - loss: 3.8007 Epoch 747/1000 147/147 [==============================] - 0s 349us/step - loss: 3.6408 Epoch 748/1000 147/147 [==============================] - 0s 368us/step - loss: 3.3017 Epoch 749/1000 147/147 [==============================] - 0s 357us/step - loss: 3.5315 Epoch 750/1000 147/147 [==============================] - 0s 358us/step - loss: 5.1678 Epoch 751/1000 147/147 [==============================] - 0s 353us/step - loss: 9.2513 Epoch 752/1000 147/147 [==============================] - 0s 357us/step - loss: 14.9372 Epoch 753/1000 147/147 [==============================] - 0s 361us/step - loss: 14.7042 Epoch 754/1000 147/147 [==============================] - 0s 359us/step - loss: 8.8622 Epoch 755/1000 147/147 [==============================] - 0s 358us/step - loss: 6.1633 Epoch 756/1000 147/147 [==============================] - 0s 370us/step - loss: 4.4315 Epoch 757/1000 147/147 [==============================] - 0s 353us/step - loss: 6.2640 Epoch 758/1000 147/147 [==============================] - 0s 347us/step - loss: 10.9911 Epoch 759/1000 147/147 [==============================] - 0s 359us/step - loss: 13.0667 Epoch 760/1000 147/147 [==============================] - 0s 363us/step - loss: 3.6772 Epoch 761/1000 147/147 [==============================] - 0s 355us/step - loss: 6.4602 Epoch 762/1000 147/147 [==============================] - 0s 349us/step - loss: 8.9265 Epoch 763/1000 147/147 [==============================] - 0s 349us/step - loss: 6.0649 Epoch 764/1000 147/147 [==============================] - 0s 364us/step - loss: 3.2076 Epoch 765/1000 147/147 [==============================] - 0s 358us/step - loss: 3.1155 Epoch 766/1000 147/147 [==============================] - 0s 352us/step - loss: 4.3463 Epoch 767/1000 147/147 [==============================] - 0s 361us/step - loss: 3.6193 Epoch 768/1000 147/147 [==============================] - 0s 358us/step - loss: 3.6133 Epoch 769/1000 147/147 [==============================] - 0s 362us/step - loss: 4.6452 Epoch 770/1000 147/147 [==============================] - 0s 361us/step - loss: 3.5975 Epoch 771/1000 147/147 [==============================] - 0s 364us/step - loss: 3.8596 Epoch 772/1000 147/147 [==============================] - 0s 395us/step - loss: 3.9428 Epoch 773/1000 147/147 [==============================] - 0s 383us/step - loss: 4.9305 Epoch 774/1000 147/147 [==============================] - 0s 352us/step - loss: 6.5972 Epoch 775/1000 147/147 [==============================] - 0s 360us/step - loss: 3.8403 Epoch 776/1000 147/147 [==============================] - 0s 357us/step - loss: 4.2196 Epoch 777/1000 147/147 [==============================] - 0s 354us/step - loss: 5.7278 Epoch 778/1000 147/147 [==============================] - 0s 356us/step - loss: 4.8160 Epoch 779/1000 147/147 [==============================] - 0s 357us/step - loss: 5.3855 Epoch 780/1000 147/147 [==============================] - 0s 351us/step - loss: 2.8743 Epoch 781/1000 147/147 [==============================] - 0s 364us/step - loss: 4.0886 Epoch 782/1000 147/147 [==============================] - 0s 368us/step - loss: 5.6378 Epoch 783/1000 147/147 [==============================] - 0s 359us/step - loss: 15.9748 Epoch 784/1000 147/147 [==============================] - 0s 353us/step - loss: 7.5865 Epoch 785/1000 147/147 [==============================] - 0s 356us/step - loss: 5.1155 Epoch 786/1000 147/147 [==============================] - 0s 369us/step - loss: 7.2707 Epoch 787/1000 147/147 [==============================] - 0s 369us/step - loss: 7.7416 Epoch 788/1000 147/147 [==============================] - 0s 363us/step - loss: 5.8578 Epoch 789/1000 147/147 [==============================] - 0s 352us/step - loss: 3.1349 Epoch 790/1000 147/147 [==============================] - 0s 357us/step - loss: 4.6410 Epoch 791/1000 147/147 [==============================] - 0s 352us/step - loss: 3.9631 Epoch 792/1000 147/147 [==============================] - 0s 365us/step - loss: 3.3474 Epoch 793/1000 147/147 [==============================] - 0s 356us/step - loss: 3.7965 Epoch 794/1000 147/147 [==============================] - 0s 352us/step - loss: 7.0054 Epoch 795/1000 147/147 [==============================] - 0s 360us/step - loss: 10.0459 Epoch 796/1000 147/147 [==============================] - 0s 350us/step - loss: 11.2960 Epoch 797/1000 147/147 [==============================] - 0s 356us/step - loss: 8.2503 Epoch 798/1000 147/147 [==============================] - 0s 360us/step - loss: 5.7281 Epoch 799/1000 147/147 [==============================] - 0s 355us/step - loss: 10.2996 Epoch 800/1000 147/147 [==============================] - 0s 351us/step - loss: 7.1798 Epoch 801/1000 147/147 [==============================] - 0s 354us/step - loss: 6.5985 Epoch 802/1000 147/147 [==============================] - 0s 367us/step - loss: 4.2500 Epoch 803/1000 147/147 [==============================] - 0s 361us/step - loss: 7.2434 Epoch 804/1000 147/147 [==============================] - 0s 351us/step - loss: 2.8053 Epoch 805/1000 147/147 [==============================] - 0s 365us/step - loss: 3.8127 Epoch 806/1000 147/147 [==============================] - 0s 374us/step - loss: 4.7301 Epoch 807/1000 147/147 [==============================] - 0s 353us/step - loss: 5.6647 Epoch 808/1000 147/147 [==============================] - 0s 345us/step - loss: 4.0774 Epoch 809/1000 147/147 [==============================] - 0s 350us/step - loss: 5.5011 Epoch 810/1000 147/147 [==============================] - 0s 348us/step - loss: 8.7172 Epoch 811/1000 147/147 [==============================] - 0s 360us/step - loss: 4.5993 Epoch 812/1000 147/147 [==============================] - 0s 357us/step - loss: 4.9000 Epoch 813/1000 147/147 [==============================] - 0s 352us/step - loss: 6.5385 Epoch 814/1000 147/147 [==============================] - 0s 355us/step - loss: 7.2356 Epoch 815/1000 147/147 [==============================] - 0s 352us/step - loss: 4.1501 Epoch 816/1000 147/147 [==============================] - 0s 347us/step - loss: 2.9352 Epoch 817/1000 147/147 [==============================] - 0s 365us/step - loss: 2.8999 Epoch 818/1000 147/147 [==============================] - 0s 357us/step - loss: 5.7281 Epoch 819/1000 147/147 [==============================] - 0s 354us/step - loss: 2.8006 Epoch 820/1000 147/147 [==============================] - 0s 359us/step - loss: 2.7549 Epoch 821/1000 147/147 [==============================] - 0s 355us/step - loss: 2.6440 Epoch 822/1000 147/147 [==============================] - 0s 353us/step - loss: 3.3290 Epoch 823/1000 147/147 [==============================] - 0s 349us/step - loss: 9.4167 Epoch 824/1000 147/147 [==============================] - 0s 356us/step - loss: 10.6514 Epoch 825/1000 147/147 [==============================] - 0s 368us/step - loss: 8.3636 Epoch 826/1000 147/147 [==============================] - 0s 360us/step - loss: 11.8786 Epoch 827/1000 147/147 [==============================] - 0s 352us/step - loss: 16.8332 Epoch 828/1000 147/147 [==============================] - 0s 355us/step - loss: 14.3677 Epoch 829/1000 147/147 [==============================] - 0s 358us/step - loss: 13.7721 Epoch 830/1000 147/147 [==============================] - 0s 368us/step - loss: 8.8695 Epoch 831/1000 147/147 [==============================] - 0s 354us/step - loss: 4.9829 Epoch 832/1000 147/147 [==============================] - 0s 357us/step - loss: 4.3941 Epoch 833/1000 147/147 [==============================] - 0s 355us/step - loss: 8.2463 Epoch 834/1000 147/147 [==============================] - 0s 356us/step - loss: 4.4792 Epoch 835/1000 147/147 [==============================] - 0s 357us/step - loss: 5.7191 Epoch 836/1000 147/147 [==============================] - 0s 354us/step - loss: 6.4019 Epoch 837/1000 147/147 [==============================] - 0s 357us/step - loss: 12.6015 Epoch 838/1000 147/147 [==============================] - 0s 350us/step - loss: 8.3437 Epoch 839/1000 147/147 [==============================] - 0s 356us/step - loss: 7.9729 Epoch 840/1000 147/147 [==============================] - 0s 355us/step - loss: 12.1744 Epoch 841/1000 147/147 [==============================] - 0s 354us/step - loss: 12.7824 Epoch 842/1000 147/147 [==============================] - 0s 348us/step - loss: 20.5337 Epoch 843/1000 147/147 [==============================] - 0s 349us/step - loss: 21.5676 Epoch 844/1000 147/147 [==============================] - 0s 353us/step - loss: 24.3929 Epoch 845/1000 147/147 [==============================] - 0s 354us/step - loss: 16.5515 Epoch 846/1000 147/147 [==============================] - 0s 361us/step - loss: 9.6823 Epoch 847/1000 147/147 [==============================] - 0s 358us/step - loss: 10.5351 Epoch 848/1000 147/147 [==============================] - 0s 360us/step - loss: 4.8419 Epoch 849/1000 147/147 [==============================] - 0s 358us/step - loss: 7.6355 Epoch 850/1000 147/147 [==============================] - 0s 354us/step - loss: 10.3821 Epoch 851/1000 147/147 [==============================] - 0s 358us/step - loss: 7.3955 Epoch 852/1000 147/147 [==============================] - 0s 356us/step - loss: 4.7078 Epoch 853/1000 147/147 [==============================] - 0s 354us/step - loss: 4.4746 Epoch 854/1000 147/147 [==============================] - 0s 351us/step - loss: 8.9349 Epoch 855/1000 147/147 [==============================] - 0s 364us/step - loss: 7.8808 Epoch 856/1000 147/147 [==============================] - 0s 357us/step - loss: 7.7223 Epoch 857/1000 147/147 [==============================] - 0s 359us/step - loss: 5.5583 Epoch 858/1000 147/147 [==============================] - 0s 356us/step - loss: 3.5373 Epoch 859/1000 147/147 [==============================] - 0s 353us/step - loss: 3.1459 Epoch 860/1000 147/147 [==============================] - 0s 360us/step - loss: 2.7241 Epoch 861/1000 147/147 [==============================] - 0s 353us/step - loss: 3.0553 Epoch 862/1000 147/147 [==============================] - 0s 363us/step - loss: 5.6501 Epoch 863/1000 147/147 [==============================] - 0s 356us/step - loss: 7.8222 Epoch 864/1000 147/147 [==============================] - 0s 347us/step - loss: 2.8860 Epoch 865/1000 147/147 [==============================] - 0s 352us/step - loss: 4.2013 Epoch 866/1000 147/147 [==============================] - 0s 350us/step - loss: 7.2482 Epoch 867/1000 147/147 [==============================] - 0s 367us/step - loss: 10.1272 Epoch 868/1000 147/147 [==============================] - 0s 361us/step - loss: 9.3667 Epoch 869/1000 147/147 [==============================] - 0s 372us/step - loss: 19.9232 Epoch 870/1000 147/147 [==============================] - 0s 360us/step - loss: 19.1620 Epoch 871/1000 147/147 [==============================] - 0s 378us/step - loss: 13.0832 Epoch 872/1000 147/147 [==============================] - 0s 349us/step - loss: 10.7569 Epoch 873/1000 147/147 [==============================] - 0s 369us/step - loss: 6.2588 Epoch 874/1000 147/147 [==============================] - 0s 368us/step - loss: 5.3942 Epoch 875/1000 147/147 [==============================] - 0s 370us/step - loss: 5.5818 Epoch 876/1000 147/147 [==============================] - 0s 360us/step - loss: 8.7032 Epoch 877/1000 147/147 [==============================] - 0s 353us/step - loss: 10.1617 Epoch 878/1000 147/147 [==============================] - 0s 358us/step - loss: 14.7499 Epoch 879/1000 147/147 [==============================] - 0s 349us/step - loss: 11.7244 Epoch 880/1000 147/147 [==============================] - 0s 360us/step - loss: 8.0155 Epoch 881/1000 147/147 [==============================] - 0s 352us/step - loss: 7.3211 Epoch 882/1000 147/147 [==============================] - 0s 358us/step - loss: 7.5754 Epoch 883/1000 147/147 [==============================] - 0s 350us/step - loss: 12.2777 Epoch 884/1000 147/147 [==============================] - 0s 366us/step - loss: 9.5641 Epoch 885/1000 147/147 [==============================] - 0s 357us/step - loss: 8.8965 Epoch 886/1000 147/147 [==============================] - 0s 357us/step - loss: 8.4538 Epoch 887/1000 147/147 [==============================] - 0s 350us/step - loss: 4.6525 Epoch 888/1000 147/147 [==============================] - 0s 358us/step - loss: 3.5290 Epoch 889/1000 147/147 [==============================] - 0s 358us/step - loss: 4.9588 Epoch 890/1000 147/147 [==============================] - 0s 345us/step - loss: 8.2324 Epoch 891/1000 147/147 [==============================] - 0s 347us/step - loss: 5.2723 Epoch 892/1000 147/147 [==============================] - 0s 357us/step - loss: 4.2191 Epoch 893/1000 147/147 [==============================] - 0s 349us/step - loss: 6.6759 Epoch 894/1000 147/147 [==============================] - 0s 351us/step - loss: 4.5251 Epoch 895/1000 147/147 [==============================] - 0s 352us/step - loss: 6.6999 Epoch 896/1000 147/147 [==============================] - 0s 360us/step - loss: 5.3686 Epoch 897/1000 147/147 [==============================] - 0s 356us/step - loss: 3.6638 Epoch 898/1000 147/147 [==============================] - 0s 354us/step - loss: 10.9616 Epoch 899/1000 147/147 [==============================] - 0s 352us/step - loss: 12.5714 Epoch 900/1000 147/147 [==============================] - 0s 348us/step - loss: 11.2325 Epoch 901/1000 147/147 [==============================] - 0s 352us/step - loss: 21.0452 Epoch 902/1000 147/147 [==============================] - 0s 354us/step - loss: 23.0004 Epoch 903/1000 147/147 [==============================] - 0s 359us/step - loss: 19.7571 Epoch 904/1000 147/147 [==============================] - 0s 349us/step - loss: 16.0737 Epoch 905/1000 147/147 [==============================] - 0s 357us/step - loss: 12.6464 Epoch 906/1000 147/147 [==============================] - 0s 362us/step - loss: 5.4345 Epoch 907/1000 147/147 [==============================] - 0s 373us/step - loss: 3.9399 Epoch 908/1000 147/147 [==============================] - 0s 353us/step - loss: 7.1767 Epoch 909/1000 147/147 [==============================] - 0s 350us/step - loss: 6.2713 Epoch 910/1000 147/147 [==============================] - 0s 352us/step - loss: 7.5113 Epoch 911/1000 147/147 [==============================] - 0s 357us/step - loss: 4.2917 Epoch 912/1000 147/147 [==============================] - 0s 353us/step - loss: 3.5749 Epoch 913/1000 147/147 [==============================] - 0s 352us/step - loss: 3.4533 Epoch 914/1000 147/147 [==============================] - 0s 356us/step - loss: 4.2461 Epoch 915/1000 147/147 [==============================] - 0s 357us/step - loss: 5.2126 Epoch 916/1000 147/147 [==============================] - 0s 348us/step - loss: 5.9341 Epoch 917/1000 147/147 [==============================] - 0s 350us/step - loss: 4.8303 Epoch 918/1000 147/147 [==============================] - 0s 354us/step - loss: 6.2369 Epoch 919/1000 147/147 [==============================] - 0s 350us/step - loss: 4.5639 Epoch 920/1000 147/147 [==============================] - 0s 357us/step - loss: 3.5053 Epoch 921/1000 147/147 [==============================] - 0s 355us/step - loss: 4.0445 Epoch 922/1000 147/147 [==============================] - 0s 361us/step - loss: 5.0778 Epoch 923/1000 147/147 [==============================] - 0s 347us/step - loss: 3.1682 Epoch 924/1000 147/147 [==============================] - 0s 360us/step - loss: 3.0226 Epoch 925/1000 147/147 [==============================] - 0s 366us/step - loss: 2.6636 Epoch 926/1000 147/147 [==============================] - 0s 374us/step - loss: 3.0370 Epoch 927/1000 147/147 [==============================] - 0s 361us/step - loss: 3.0484 Epoch 928/1000 147/147 [==============================] - 0s 359us/step - loss: 5.5818 Epoch 929/1000 147/147 [==============================] - 0s 395us/step - loss: 4.7192 Epoch 930/1000 147/147 [==============================] - 0s 360us/step - loss: 7.3156 Epoch 931/1000 147/147 [==============================] - 0s 346us/step - loss: 10.0634 Epoch 932/1000 147/147 [==============================] - 0s 361us/step - loss: 8.0753 Epoch 933/1000 147/147 [==============================] - 0s 388us/step - loss: 7.6097 Epoch 934/1000 147/147 [==============================] - 0s 354us/step - loss: 16.2264 Epoch 935/1000 147/147 [==============================] - 0s 354us/step - loss: 20.3621 Epoch 936/1000 147/147 [==============================] - 0s 356us/step - loss: 19.2189 Epoch 937/1000 147/147 [==============================] - 0s 370us/step - loss: 30.2180 Epoch 938/1000 147/147 [==============================] - 0s 357us/step - loss: 12.6251 Epoch 939/1000 147/147 [==============================] - 0s 348us/step - loss: 6.2794 Epoch 940/1000 147/147 [==============================] - 0s 354us/step - loss: 3.8391 Epoch 941/1000 147/147 [==============================] - 0s 357us/step - loss: 3.5369 Epoch 942/1000 147/147 [==============================] - 0s 355us/step - loss: 3.7954 Epoch 943/1000 147/147 [==============================] - 0s 358us/step - loss: 3.7681 Epoch 944/1000 147/147 [==============================] - 0s 364us/step - loss: 4.3950 Epoch 945/1000 147/147 [==============================] - 0s 368us/step - loss: 6.7269 Epoch 946/1000 147/147 [==============================] - 0s 373us/step - loss: 19.9778 Epoch 947/1000 147/147 [==============================] - 0s 376us/step - loss: 13.1000 Epoch 948/1000 147/147 [==============================] - 0s 362us/step - loss: 7.7507 Epoch 949/1000 147/147 [==============================] - 0s 355us/step - loss: 3.8848 Epoch 950/1000 147/147 [==============================] - 0s 360us/step - loss: 4.5449 Epoch 951/1000 147/147 [==============================] - 0s 355us/step - loss: 4.0017 Epoch 952/1000 147/147 [==============================] - 0s 370us/step - loss: 5.3470 Epoch 953/1000 147/147 [==============================] - 0s 364us/step - loss: 3.6910 Epoch 954/1000 147/147 [==============================] - 0s 359us/step - loss: 2.7143 Epoch 955/1000 147/147 [==============================] - 0s 362us/step - loss: 3.4750 Epoch 956/1000 147/147 [==============================] - 0s 378us/step - loss: 3.3106 Epoch 957/1000 147/147 [==============================] - 0s 365us/step - loss: 3.0676 Epoch 958/1000 147/147 [==============================] - 0s 366us/step - loss: 5.3067 Epoch 959/1000 147/147 [==============================] - 0s 362us/step - loss: 5.9503 Epoch 960/1000 147/147 [==============================] - 0s 355us/step - loss: 3.9359 Epoch 961/1000 147/147 [==============================] - 0s 378us/step - loss: 3.5172 Epoch 962/1000 147/147 [==============================] - 0s 376us/step - loss: 3.5432 Epoch 963/1000 147/147 [==============================] - 0s 360us/step - loss: 3.0288 Epoch 964/1000 147/147 [==============================] - 0s 374us/step - loss: 5.2867 Epoch 965/1000 147/147 [==============================] - 0s 356us/step - loss: 4.2144 Epoch 966/1000 147/147 [==============================] - 0s 360us/step - loss: 5.1350 Epoch 967/1000 147/147 [==============================] - 0s 363us/step - loss: 2.8690 Epoch 968/1000 147/147 [==============================] - 0s 381us/step - loss: 4.6189 Epoch 969/1000 147/147 [==============================] - 0s 416us/step - loss: 5.3171 Epoch 970/1000 147/147 [==============================] - 0s 417us/step - loss: 6.4159 Epoch 971/1000 147/147 [==============================] - 0s 430us/step - loss: 9.2117 Epoch 972/1000 147/147 [==============================] - 0s 421us/step - loss: 7.8344 Epoch 973/1000 147/147 [==============================] - 0s 404us/step - loss: 6.9512 Epoch 974/1000 147/147 [==============================] - 0s 405us/step - loss: 4.1485 Epoch 975/1000 147/147 [==============================] - 0s 414us/step - loss: 8.4693 Epoch 976/1000 147/147 [==============================] - 0s 420us/step - loss: 7.1442 Epoch 977/1000 147/147 [==============================] - 0s 424us/step - loss: 4.7067 Epoch 978/1000 147/147 [==============================] - 0s 400us/step - loss: 2.8239 Epoch 979/1000 147/147 [==============================] - 0s 406us/step - loss: 4.9907 Epoch 980/1000 147/147 [==============================] - 0s 387us/step - loss: 3.9693 Epoch 981/1000 147/147 [==============================] - 0s 413us/step - loss: 3.3645 Epoch 982/1000 147/147 [==============================] - 0s 402us/step - loss: 2.9309 Epoch 983/1000 147/147 [==============================] - 0s 414us/step - loss: 3.9884 Epoch 984/1000 147/147 [==============================] - 0s 379us/step - loss: 4.0552 Epoch 985/1000 147/147 [==============================] - 0s 374us/step - loss: 3.1056 Epoch 986/1000 147/147 [==============================] - 0s 390us/step - loss: 6.7173 Epoch 987/1000 147/147 [==============================] - 0s 382us/step - loss: 6.1788 Epoch 988/1000 147/147 [==============================] - 0s 377us/step - loss: 9.7041 Epoch 989/1000 147/147 [==============================] - 0s 390us/step - loss: 10.8923 Epoch 990/1000 147/147 [==============================] - 0s 373us/step - loss: 9.6968 Epoch 991/1000 147/147 [==============================] - 0s 400us/step - loss: 13.8337 Epoch 992/1000 147/147 [==============================] - 0s 379us/step - loss: 6.2444 Epoch 993/1000 147/147 [==============================] - 0s 378us/step - loss: 9.7846 Epoch 994/1000 147/147 [==============================] - 0s 382us/step - loss: 4.6263 Epoch 995/1000 147/147 [==============================] - 0s 383us/step - loss: 5.5436 Epoch 996/1000 147/147 [==============================] - 0s 385us/step - loss: 14.4362 Epoch 997/1000 147/147 [==============================] - 0s 399us/step - loss: 14.9681 Epoch 998/1000 147/147 [==============================] - 0s 394us/step - loss: 18.4944 Epoch 999/1000 147/147 [==============================] - 0s 391us/step - loss: 12.9735 Epoch 1000/1000 147/147 [==============================] - 0s 390us/step - loss: 7.9911 147/147 [==============================] - 0s 193us/step R squared: 0.9909053845654618 The Mean Absolute Error of our forecasts is 1.66 The Mean Squared Error of our forecasts is 4.08 The Mean Squared Log Error of our forecasts is 0.0 The Root Mean Squared Error of our forecasts is 2.02
147/147 [==============================] - 0s 70us/step 1/1 [==============================] - 0s 803us/step 1/1 [==============================] - 0s 1ms/step 1/1 [==============================] - 0s 1ms/step 1/1 [==============================] - 0s 1ms/step 1/1 [==============================] - 0s 907us/step 1/1 [==============================] - 0s 981us/step 1/1 [==============================] - 0s 1ms/step
