Tensorflow

Deep Learning in R with Dropout Layer | Data Science for Beginners | Regression | Tensorflow | Keras

Hits: 34  In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: Deep Learning in R with Dropout Layer | Data Science for Beginners | Regression | Tensorflow | Keras. What should I learn from this Applied …

ML Classification in Python | Data Science Tutorials | Tensorflow | Keras | IRIS | Deep Learning

Hits: 16 In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in R programming: ML Classification in Python | Data Science Tutorials | Tensorflow | Keras | IRIS | Deep Learning. What should I learn from this Applied Machine …

How to install, load and describe Penn Machine Learning Benchmarks – Yeast Datasets

Hits: 9   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to install, load and describe Penn Machine Learning Benchmarks – Yeast Datasets. What should I learn from this recipe? You will learn: How …

How to use Keras and Tensorflow in classifing adult income data in Python

Hits: 10   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to use Keras and Tensorflow in classifing adult income data in Python. What should I learn from this recipe? You will learn: How …

How to predict and visualise a time series using GradientBoost in Python

Hits: 21   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to predict and visualise a time series using GradientBoost in Python. What should I learn from this recipe? You will learn: How to …

How to predict a time series using XGBoost in Python

Hits: 16   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to predict a time series using XGBoost in Python. What should I learn from this recipe? You will learn: How to code a …

How to setup a CNN model for review classification in Keras

Hits: 3   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to setup a CNN model for review classification in Keras. What should I learn from this recipe? You will learn: How to code …

How to setup a Multi-Layer Perceptron model for review classification in Keras

Hits: 7   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to setup a Multi-Layer Perceptron model for review classification in Keras. What should I learn from this recipe? You will learn: How to …

How to setup a GRU (RNN) model for imdb sentiment analysis in Keras

Hits: 27   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to setup a GRU (RNN) model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How …

How to setup a LSTM (RNN) model for imdb sentiment analysis in Keras

Hits: 7   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to setup a LSTM (RNN) model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How …

How to setup a Simple RNN model for imdb sentiment analysis in Keras

Hits: 20   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to setup a Simple RNN model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How …

How to setup a CNN model for imdb sentiment analysis in Keras

Hits: 15   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to setup a CNN model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How to code …

How to setup a Multi-Layer Perceptron model for imdb sentiment analysis in Keras

Hits: 11   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to setup a Multi-Layer Perceptron model for imdb sentiment analysis in Keras. What should I learn from this recipe? You will learn: How to …

How to classify digits using a VGG16 network achitecture in Keras and Python

Hits: 6   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming:How to classify digits using a VGG16 network achitechture in Keras and Python. What should I learn from this recipe? You will learn: How to …

How to build a VGG16 network using Keras and Python

Hits: 22   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: How to build a VGG16 network using Keras and Python. What should I learn from this recipe? You will learn: How to code a …

Fashion Image classification (fashion_mnist) using a LaNet Architecture in Python

Hits: 1   In this Applied Machine Learning & Data Science Recipe (Jupyter Notebook), the reader will find the practical use of applied machine learning and data science in Python programming: Fashion Image classification (fashion_mnist) using a LaNet Architecture in Python. What should I learn from this recipe? You will learn: How to code a …