Keras Deep Learning Cookbook

Preface

Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.

The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popular Keras library. This book covers installing and setting up Keras, while also demonstrating how you can perform deep learning with Keras in the TensorFlow, Apache MXNet, and CNTK backends.

From loading data to fitting and evaluating your model for optimal performance, you will work through a step-by-step process to tackle every possible problem faced while training deep models. You will implement ...