TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms

简体网页||繁体网页
Sam Abrahams 作者
Bleeding Edge Press
译者
2016-11-10 出版日期
298 页数
USD 29.99 价格
Paperback
丛书系列
9781939902450 图书编码

TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 图书标签: 机器学习  tensorflow  深度学习  Tensorflow  计算机  大数据  神經網絡  機器學習   


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TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 用户评价

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注意RNN和Deploy的内容,Code Snippets,Next steps and additional resources.

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很好的参考书,比较清楚

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注意RNN和Deploy的内容,Code Snippets,Next steps and additional resources.

评分

很好的参考书,比较清楚

评分

注意RNN和Deploy的内容,Code Snippets,Next steps and additional resources.

TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 著者简介


TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 图书目录


TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms 在线电子书 图书描述

TensorFlow, a popular library for machine learning, embraces the innovation and community-engagement of open source, but has the support, guidance, and stability of a large corporation. Because of its multitude of strengths, TensorFlow is appropriate for individuals and businesses ranging from startups to companies as large as, well, Google. TensorFlow is currently being used for natural language processing, artificial intelligence, computer vision, and predictive analytics. TensorFlow, open sourced to the public by Google in November 2015, was made to be flexible, efficient, extensible, and portable. Computers of any shape and size can run it, from smartphones all the way up to huge computing clusters. This book is for anyone who knows a little machine learning (or not) and who has heard about TensorFlow, but found the documentation too daunting to approach. It introduces the TensorFlow framework and the underlying machine learning concepts that are important to harness machine intelligence. After reading this book, you should have a deep understanding of the core TensorFlow API.

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