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[书籍介绍] 【2017新书】Learning TensorFlow: A Guide to Building Deep Learning Systems [推广有奖]

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jasonwu24 在职认证  发表于 2017-8-12 12:45:09 |显示全部楼层 |坛友微信交流群
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  • Title: Learning TensorFlow: A Guide to Building Deep Learning Systems
  • Author: Itay Lieder, Tom Hope, Yehezkel S. Resheff
  • Length: 242 pages
  • Edition: 1
  • Language: English
  • Publisher: O'Reilly Media
  • Publication Date: 2017-08-09
  • ISBN-10: B074PDHDQQ





OReilly.Learning.TensorFlow.A.Guide.to.Building.Deep.Learning.Systems.B074PDHDQQ.rar (2.68 MB, 需要: 5 个论坛币) 本附件包括:
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OReilly.Learning.TensorFlow.A.Guide.to.Building.Deep.Learning.Systems.B074PDHDQQ.pdf (5.95 MB, 需要: 5 个论坛币) 【converted PDF】



Book Description

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
Table of Contents

Chapter 1 Introduction
Chapter 2 Go with the Flow: Up and running with TensorFlow
Chapter 3 Understanding TensorFlow Basics
Chapter 4 Convolutional Neural Networks
Chapter 5 Working with Text and Sequences + TensorBoard visualization
Chapter 6 TF Abstractions and Simplification
Chapter 7 Queues, Threads, and Reading Data
Chapter 8 Distributed TensorFlow
Chapter 9 Serving Models
Chapter 10 Miscellaneous




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关键词:Learning Building earning Systems Tensor

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oliyiyi 发表于 2017-8-12 13:05:18 |显示全部楼层 |坛友微信交流群
谢谢分享

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军旗飞扬 发表于 2017-8-12 20:30:30 |显示全部楼层 |坛友微信交流群
谢谢楼主分享!

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胥华 学生认证  发表于 2017-8-15 00:01:22 |显示全部楼层 |坛友微信交流群
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sukiyou2000 发表于 2017-8-16 09:03:42 |显示全部楼层 |坛友微信交流群
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Just released this month! so fast! thanks!

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sthopeli 在职认证  发表于 2017-8-19 06:51:09 |显示全部楼层 |坛友微信交流群
thanks

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