Description

KEY FEATURES

• Lots of diagrams, code examples, and exercises

• Solves real-world problems with TensorFlow

• Uses well-studied neural network architectures

• Presents code that can be used for the readers’ own applications

AUDIENCE

This book is for programmers who have some experience with Python and

linear algebra concepts like vectors and matrices. No experience with

machine learning is necessary.

Author

AUTHOR BIO

Nishant Shukla is a computer vision researcher at UCLA, focusing on

machine learning techniques with robotics. He has been a developer for

Microsoft, Facebook, and Foursquare, and a machine learning engineer for

SpaceX, as well as the author of the Haskell Data Analysis Cookbook.