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[Abrahams, Sam, Hafner, Danijar, Erwitt, Erik, Scarpinelli, Ariel]のTensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms (English Edition)
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TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms (English Edition) Kindle版


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紙の本の長さ: 322ページ 言語: 英語
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内容紹介

This book is a hands-on introduction to learning algorithms. It is for people who may know a little machine learning (or not) and who may have heard about TensorFlow, but found the documentation too daunting to approach. The learning curve is gentle and you always have some code to illustrate the math step-by-step.

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 starts with the absolute basics of TensorFlow. We found that most tutorials on TensorFlow start by attempting to teach both machine learning concepts and TensorFlow terminology at the same time. Here we first make sure you've had the opportunity to become comfortable with TensorFlow's mechanics and core API before covering machine learning concepts.

登録情報

  • フォーマット: Kindle版
  • ファイルサイズ: 15144 KB
  • 紙の本の長さ: 322 ページ
  • 同時に利用できる端末数: 無制限
  • 出版社: Bleeding Edge Press; 1版 (2016/7/23)
  • 販売: Amazon Services International, Inc.
  • 言語: 英語
  • ASIN: B01IZ43JV4
  • Text-to-Speech(テキスト読み上げ機能): 有効
  • X-Ray:
  • Word Wise: 有効にされていません
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6 人中、6人の方が、「このレビューが参考になった」と投票しています。
5つ星のうち 4.0 Good intro but needs an editor. 2017/1/17
投稿者 Mike Basilyan - (Amazon.com)
Amazonで購入
The top level summary of my review is: good book, gentle & thorough introduction but wow does it need work and editing. I'm giving it 4 stars because there are few other options out there and the pros outweigh the cons for me.

The good: Overall I found the book to be very accessible and an easy introduction to Tensorflow. It takes its time to explain key TF concepts and how they work in the context of machine learning. Examples are good and accessible.

The bad: Did they forget to proof read the book? On page 96 there's a section called "Logging with TensorBoard" but there's no actual text in that section, just the heading. They keep referring to colors in graphs (blue lines, red dots, etc.) but the book is printed in black and white. There are typos and incomplete sentences everywhere.
25 人中、22人の方が、「このレビューが参考になった」と投票しています。
5つ星のうち 2.0 Not yet ready, and not that close 2016/8/25
投稿者 Matt Ginsberg - (Amazon.com)
形式: Kindle版 Amazonで購入
I originally thought this was a good book. I no longer think that.

It's not a book yet. It will probably be a good book at some point, but that point is not now.

The first few chapters "work". I was able to work through them and everything came out just like it should have. With chapter 5, that completely stopped.

At a high level, what's going on for me is that the examples stopped being self-contained. They don't really tell you where to initialize tf sessions, where to initialize the variables, etc. They just give you code that is supposed to somehow work (but doesn't).

I've spent many hours trying to figure this out. From the point labeled "convert images to TFRecords" and forward, I just can't get anything to happen. I've tried typing everything into python and running it, both with a tensorflow session and without. I've tried running code I downloaded with jupyter and ipython. I just get a bunch of complaints about widgets being unavailable, kernels not existing, and notebooks not being trusted. I've installed a ton of stuff (ipython, jupyter, widgetsnbextension and ipywidgets, for starters) and nothing helps. I've looked at the various manual pages for tensorflow, and that doesn't help, either.

I suspect that if I already knew tensorflow, I would be able to stagger through this. But I don't (that's why I bought the book!), and this book truly isn't helping.
1 人中、1人の方が、「このレビューが参考になった」と投票しています。
5つ星のうち 4.0 A good introduction 2016/12/30
投稿者 Decao Mao - (Amazon.com)
Amazonで購入
I bought this book simply because there was no other choice on the same topic, and I didn't expect too much from the book. But it turns out this is really a good book, much better than I expected, for an introduction to Tensorflow, its principles and its applications. Especially to those who already have some basic understanding on Machine Learning and Dataflow, but need to know what Tenserflow is and how it works, this is a good introduction to start with.
5つ星のうち 2.0 Honestly, this was a decent start at the library ... 2017/5/25
投稿者 Amazon Customer - (Amazon.com)
Amazonで購入
Honestly, this was a decent start at the library but it's clear that multiple authors are involved as some sections are well written and informative and other sections are disjointed and poorly written. Even that would be alright, my biggest complaint was that the examples are old and utilize deprecated api's; to get examples to work means browsing through stackoverflow or the tensorflow api to replace obsolete code. It's very frustrating, if there is a more up to date book... I'd go with that, but who knows if there even is.
2 人中、1人の方が、「このレビューが参考になった」と投票しています。
5つ星のうち 4.0 Great introduction to tensorflow. Better to learn deep learning from somewhere else though. 2016/12/23
投稿者 Aditya - (Amazon.com)
形式: Kindle版 Amazonで購入
This book is a really great introduction to tensorflow. It's a really quick read and the topics that are presented are done so succinctly. And I like the fact that they have mentioned a few good programming practices for tensorflow. However, I do wish they had gone more in detail about debugging and unit testing tensorflow code. In my experience of developing models from scratch, that is where I find myself stuck the most.
This book isn't an introduction to deep learning though and I don't think it even tries to do that. It presents whatever material is required for us to get off the ground with tensorflow and nothing more. I like that because it doesn't deviate from its main purpose.
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