Keras

Learn By Example 309 | How to split train and test datasets in a Deep Leaning Model in Keras?

Learn By Example 309 | How to split train and test datasets in a Deep Leaning Model in Keras?   Splitting a dataset into a training and a test set is a crucial step when building a deep learning model. The training set is used to train the model and the test set is used …

Learn By Example 308 | How to setup Early Stopping in a Deep Learning Model in Keras?

How to setup Early Stopping in a Deep Learning Model in Keras?   Early stopping is a technique that can be used to improve the performance of a deep learning model. The idea is to stop the training process before the model reaches the end of its training cycle, if the model’s performance on a …

Learn By Example 307 | How to create FeedForward Neural Networks in Keras?

How to create FeedForward Neural Networks in Keras?     A feedforward neural network is a type of artificial intelligence that is modeled after the way the human brain works. These networks are made up of layers of interconnected “neurons,” which process and transmit information. In order to create a feedforward neural network in the …

Learn By Example | How to use VarianceScaling initializer to a Deep Learning Model in Keras?

Learn By Example | How to use VarianceScaling initializer to a Deep Learning Model in Keras?   An initializer is a function that sets the initial values of the weights of a deep learning model. The choice of initializer can have a big impact on the performance of the model, as different initializers can lead …

Learn By Example | How to use RandomNormal initializer to a Deep Learning Model in Keras?

Learn By Example | How to use RandomNormal initializer to a Deep Learning Model in Keras?   An initializer is a function that sets the initial values of the weights of a deep learning model. The choice of initializer can have a big impact on the performance of the model, as different initializers can lead …