|
|
Showing 1 - 1 of
1 matches in All Departments
Roughly inspired by the human brain, deep neural networks trained
with large amounts of data can solve complex tasks with
unprecedented accuracy. This practical book provides an end-to-end
guide to TensorFlow, the leading open source software library that
helps you build and train neural networks for computer vision,
natural language processing (NLP), speech recognition, and general
predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay
Lieder provide a hands-on approach to TensorFlow fundamentals for a
broad technical audience-from data scientists and engineers to
students and researchers. You'll begin by working through some
basic examples in TensorFlow before diving deeper into topics such
as neural network architectures, TensorBoard visualization,
TensorFlow abstraction libraries, and multithreaded input
pipelines. Once you finish this book, you'll know how to build and
deploy production-ready deep learning systems in TensorFlow. Get up
and running with TensorFlow, rapidly and painlessly Learn how to
use TensorFlow to build deep learning models from the ground up
Train popular deep learning models for computer vision and NLP Use
extensive abstraction libraries to make development easier and
faster Learn how to scale TensorFlow, and use clusters to
distribute model training Deploy TensorFlow in a production setting
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
Loot
Nadine Gordimer
Paperback
(2)
R367
R340
Discovery Miles 3 400
Marry Me
Jennifer Lopez, Owen Wilson, …
DVD
R245
Discovery Miles 2 450
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.