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TensorFlow Machine Learning Cookbook by [McClure, Nick]
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TensorFlow Machine Learning Cookbook Kindle Edition

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Length: 370 pages Enhanced Typesetting: Enabled Page Flip: Enabled

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Product description

About the Author

Nick McClure

Nick McClure is currently a senior data scientist at PayScale, Inc. in Seattle, WA. Prior to this, he has worked at Zillow and Caesar's Entertainment. He got his degrees in Applied Mathematics from The University of Montana and the College of Saint Benedict and Saint John's University. He has a passion for learning and advocating for analytics, machine learning, and artificial intelligence. Nick occasionally puts his thoughts and musings on his blog, http://fromdata.org/, or through his Twitter account, @nfmcclure.

Product details

  • Format: Kindle Edition
  • File Size: 7061 KB
  • Print Length: 370 pages
  • Publisher: Packt Publishing; 1 edition (14 Feb. 2017)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B01HY3TC54
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Enhanced Typesetting: Enabled
  • Average Customer Review: Be the first to review this item
  • Amazon Bestsellers Rank: #416,665 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on Amazon.com (beta) (May include reviews from Early Reviewer Rewards Program)

Amazon.com: 3.6 out of 5 stars 11 reviews
10 of 10 people found the following review helpful
1.0 out of 5 stars Needs Improvement 8 Mar. 2017
By mark - Published on Amazon.com
Format: Kindle Edition Verified Purchase
It contains a lot of of good details but it lacks a lot of things.

1. The codes are not updated to Tensorflow 1.0.
2. There is no example for the Embedding Visualizer which is very important.
3. The examples are taken from the tutorial.
3 of 3 people found the following review helpful
3.0 out of 5 stars the typos are pretty bad too 23 April 2017
By Josh L. Espinoza - Published on Amazon.com
Format: Paperback Verified Purchase
The book is alright. I'm only on Chapter 2 but it's because some of the code he uses is not explained. For example, on page 33 he is using making a custom_layer function. There is a constant (A) with 2 values in it but he's not explaining where these values are coming from and it's a little confusing. Also, the typos are pretty bad too. On that same page there is a line that verbatim says: mov_avg_layer = tf.nn.conv2d(x_data, my_filter, my_strides, padding='SAME''', name='Moving_Avg_Window') like I don't know how he didn't catch the triple quotes but there a few examples of this that makes reading his code a little confusing. I payed full price $60 and am pretty disappointed.
3.0 out of 5 stars Not for learning ML 12 Jun. 2017
By Vic - Published on Amazon.com
Format: Kindle Edition Verified Purchase
Didn't care for it one bit. I'm trying to learn to solve a problem, and this book is just a collection of high-level recipes, which are overcomplicated for simple tasks. The problem is that the TOC makes it sound like the book builds on simple recipes toward more complex ones. Not the case. I just want to learn how to build a simple neural network with a hidden layer, and this book would have you build something capable of image classification. No thank you, before I learn how to make eggs Benedict, let's start with scrambled. Returned for a refund.
4.0 out of 5 stars Comprehensive 23 April 2017
By Adam C. Russell - Published on Amazon.com
Format: Paperback Verified Purchase
This is a solid book, and I recommend it. Like every other Packt book I've read it suffers from numerous typos, even in code sections that would result in a syntax error! Still, this is a comprehensive book and I've felt it covered most everything I wanted out of it.
4.0 out of 5 stars good book that covers a great topic 5 May 2017
By Rui Lee - Published on Amazon.com
Format: Kindle Edition Verified Purchase
good book that covers a great topic, sadly, the version is old (tf.0.12), and there are incompatibility with tf.1.1.0 in the example codes
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