TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

By 作者: Bharath Ramsundar – Reza Bosagh Zadeh

ISBN-10 书号: 1491980451

ISBN-13 书号: 9781491980453

Edition: 1

Release 出版日期: 2018-03-30

pages 页数: (256 )


Book Description

Learn how to solve challenging machine learning problems with Tensorflow, Google’s revolutionary new system for deep learning. If you have some background with basic linear algebra and calculus, this practical book shows you how to build—and when to use—deep learning architectures. You’ll learn how to design systems capable of detecting objects in images, understanding human speech, analyzing video, and predicting the properties of potential medicines.

TensorFlow for Deep Learning teaches concepts through practical examples and builds understanding of deep learning foundations from the ground up. It’s ideal for practicing developers comfortable with designing software systems, but not necessarily with creating learning systems. This book is also useful for scientists and other professionals who are comfortable with scripting, but not necessarily with designing learning algorithms.

Chapter 1. Introduction to Deep Learning
Chapter 2. Introduction to Tensorflow Primitives


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TensorFlow for Deep Learning


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