Deep Learning with R Cookbook

What this book covers

Chapter 1, Understanding Neural Networks and Deep Neural Networks, will show us how to set up a deep learning environment to train models. The readers are then introduced to neural networks, starting from how neural networks work, what hidden layers are, what backpropagation is, and what activation functions are. This chapter uses the keras library to demonstrate the recipes.

Chapter 2, Working with Convolutional Neural Networks, will show us CNNs and will explain how they can be used to train models for image recognition and natural language processing based tasks. This chapter also covers various hyperparameters and optimizers used with CNNs.

Chapter 3, Recurrent Neural Networks in Action, will show us the fundamentals ...