This book offers a practical, hands-on exploration of deep learning. Author François Chollet, the creator of Keras and a Google AI researcher, avoids mathematical notation, preferring instead to explain quantitative concepts via code snippets and to build practical intuition about the core ideas of machine learning and deep learning. More than 30 code examples include detailed commentary, practical recommendations, and simple high-level explanations of everything you need to know to start using deep learning to solve concrete problems.

<ASIN:1617294438>

The code examples use the Python deep-learning framework Keras, with TensorFlow as a backend engine.

Author: François Chollet
Publisher: Manning
Date: Nov 2017
Pages: 384
ISBN: 978-1617294433
Print: 1617294438
Kindle: free with print book
Audience: AI developers
Level: intermediate
Category: Artificial Intelligence

Contents include:

• The mathematical building blocks of neural networks
• Fundamentals of machine learning
• Deep learning for computer vision
• Deep learning for text and sequences
• Advanced deep learning best practices
• Generative deep learning

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info