TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

by Bharath Ramsundar, Reza Bosagh Zadeh

Learn how to solve challenging machine learning problems with TensorFlow, Googleâ??s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines. TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. Itâ??s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

Genres: Computer Science

254 pages, Paperback

Published April 17, 2018

Reviews

[Frank Palardy · Rating 4 out of 5]

Some deep learning books are too hard and others too easy. This one I kept hoping would get better

[M Reda KATBY · Rating 3 out of 5]

a good book for those who just need to know most things about TensorFlow however if more concreate example was introduced here it would be must better

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