Learning TensorFlow

Book Name: Learning TensorFlow
Author: Itay Lieder, Tom Hope, Yehezkel S. Resheff
Publisher: O’Reilly Media
ISBN-10: 1491978511
Year: 2017
Pages: 242
Language: English
File size: 12.9 MB
File format: PDF

Learning TensorFlow Pdf Book Description:

Roughly motivated by the human mind, profound neural networks trained using considerable quantities of information can resolve complicated tasks with unprecedented precision. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder offer a hands on strategy to TensorFlow principles to get a wide technical audience–by information engineers and scientists to students and investigators.

You will start by working through a few basic illustrations in TensorFlow before plunging deeper into themes like neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded enter pipelines. When you complete this book, you will understand how to construct and deploy production-ready profound learning methods in TensorFlow.

DMCA Disclaimer: This site complies with DMCA Digital Copyright Laws. Please bear in mind that we do not own copyrights to these books. We’re sharing this material with our audience ONLY for educational purpose. We highly encourage our visitors to purchase original books from the respected publishers. If someone with copyrights wants us to remove this content, please contact us immediately. All books on the edubookpdf.com are free and NOT HOSTED ON OUR WEBSITE. If you feel that we have violated your copyrights, then please contact us immediately (click here).

Add a Comment

Your email address will not be published. Required fields are marked *