Author: Francois Chollet
ISBN-13: 978-1-6172-9443-3
Total Pages: 386
Size: 11.19MB
Link Download: Google | MediaFire | ZippyShare
Description:
The book you're holding is another step on the way to making deep learning available to as many people as possible. Keras had always needed a companion course to simultancously cover fundamentals of deep learning, Keras usage patterns, and deep learning best practices. This book is my best effort to produce such a course. I wrote it with a focus on making the concepts behind deep learning, and their implementation, as approachable as possible.
Table of Contents:
Chapter 1 - Fundamentals of Deep Learning
Chapter 2 - Before We Begin: The Mathematical Building Blocks of Neural Networks
Chapter 3 - Getting Started with Neural Networks
Chapter 4 - Fundamentals of Machine Learning
Chapter 5 - Deep Learning for Computer Vision
Chapter 6 - Deep Learning for Next and Sequences
Chapter 7 - Advanced Deep Learning Best Practices
Chapter 8 - Generative Deep Learning
Chapter 9 - Conclusions