Exploring Keras

Keras was created and is maintained by Francois Chollet. Keras lays claim to being designed for humans, so common use cases are simple to execute and the syntax is clear and comprehensible. Keras is made to work with a number of lower-level deep learning languages and, in this book, Keras will be the interface that we use to utilize a number of popular deep learning backends, including TensorFlow.

Available functions

Keras offers support for a broad array of deep learning methods, including the following:

• Recurrent neural networks (RNNs)
• Long short-term memory (LSTM) networks 
• Convolutional neural networks (CNNs)
• Multilayer perceptrons (MLPs)
• Variable autoencoders

This is not an exhaustive list...