Keras Deep Learning Cookbook: Over 80 recipes for implementing deep neural networks in Python


Key Features
Recipes on training and fine-tuning your neural network models efficiently using Keras
A highly practical guide to simplify your understanding of neural networks and their implementation
This book is a must-have on your shelf if you are planning to put your deep learning knowledge to practical use

What you will learn
Install and configure Keras on top of Tensorflow, Apache MXNet and CNTK
Develop a strong background in neural network programming using the Keras library
Understand the details of different Keras layers like Core, Embedding and so on
Use Keras to implement simple feed-forward neural networks and the more complex CNNs, RNNs
Work with various datasets, models used for image and text classification
Develop text summarization and Reinforcement Learning models using Keras

作者 Rajdeep Dua  Manpreet Singh Ghotra