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This topic is about Keras - Convolution Neural Network. Let us modify the model from MPL to Convolution Neural Network (CNN) for our earlier digit identification problem. CNN can be represented as…

This chapter deals with the model evaluation and model prediction in Keras. Let us begin by understanding the model evaluation. Model Evaluation Evaluation is a process during development of the…

This chapter is about Keras Model Compilation. Previously, we studied the basics of how to create model using Sequential and Functional API. The compilation is the final step in creating…

This topic is about Keras Models.As learned earlier, Keras model represents the actual neural network model. Keras provides a two mode to create the model, simple and easy to use Sequential…

Keras allows to create our own customized layer. Once a new layer is created, it can be used in any model without any restriction. Let us learn how to create…

As we learned earlier, Keras modules contains pre-defined classes, functions and variables which are useful for deep learning algorithm. Let us learn the modules provided by Keras in this chapter.…

Keras provides a complete framework to create any type of neural networks. Keras is innovative as well as very easy to learn. It supports simple neural network to very large…

This chapter is about Keras Overview of Deep learning. Deep learning is an evolving subfield of machine learning. Deep learning involves analyzing the input in layer by layer manner, where…

This chapter explains Keras backend configuration TensorFlow and Theano in detail. Let us go through each implementation one by one. TensorFlow TensorFlow is an open source machine learning library used…