- Paperback: 174 pages
- Publisher: Packt Publishing Limited (31 July 2017)
- Language: English
- ISBN-10: 1787282775
- ISBN-13: 978-1787282773
- Product Dimensions: 19 x 1 x 23.5 cm
- Average Customer Review: 2 customer reviews
- Amazon Bestsellers Rank: #2,21,953 in Books (See Top 100 in Books)
Hands-On Deep Learning with TensorFlow Paperback – Import, 31 Jul 2017
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About the Author
Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
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Most helpful customer reviews on Amazon.com
"Machine Learning with TensorFlow" by Shukla, published by Manning in 2018-02, 272 pp, $43
"Mastering TensorFlow 1.x" by Fandango, Packt, 2018-01, 474 pp, $35
"Pro Deep Learning with TensorFlow" by Pattanayak, Apress, 2017-12, 398 pp, $37
"TensorFlow 1.x Deep Learning Cookbook" by Gulli and Kapoor, Packt, 2017-12, 536 pp, $32
"Neural Network Programming with TensorFlow" by Ghotra and Dua, Packt, 2017-11, 274 pp, $40
"Predictive Analytics with TensorFlow" by Karim, Packt, 2017-11, 522 pp, $50
"Machine Learning with TensorFlow 1.x" by Hua and Azeem, Packt, 2017-11, 304 pp, $39
"Learning TensorFlow" by Hope and Resheff, O'Reilly, 2017-08, 242 pp, $25
"Hands-On Deep Learning with TensorFlow" by Van Boxel, Packt, 2017-07, 174 pp, $35
"Deep Learning with TensorFlow" by Zaccone, Karim and Menshawy, Packt, 2017-04, 320 pp, $50
"TensorFlow Machine Learning Cookbook" by McClure, Packt, 2017-02, 370 pp, $30
"Building Machine Learning Projects with TensorFlow" by Bonnin, Packt, 2016-11, 291 pp, $35
"Getting Started with TensorFlow" by Zaccone, Packt, 2016-07, 180 pp, $35
I reviewed the doc on tensorflow.org - including the doc for older releases - then started looking at books. One week later, I am still not done, but some options can already be discarded.
"Hands-On Deep Learning with TensorFlow" is one of them. The book is the thinnest of the bunch; with just 174 Packt pages - equivalent to under 100 of "regular" ones - to play with, it cannot really be a TensorFlow reference, only a (sketchy) TensorFlow introduction. In this case, page count is kept down by (with one exception) focusing on a single problem, MNIST character recognition. Despite a recent release date, the book does not cover the higher-level APIs of Estimators and Datasets, and adopts the "old school", low-level approach. It is really not bad, and does add value to the doc (for release 1.3 or so) and online treatments of "TensorFlow vs. MNIST", but the truth is, for $35, you can find something more substantial. Consider "Hands-On Deep Learning with TensorFlow" if you see it on sale.
I followed along using the latest TensorFlow libraries available on Arch Linux and I was surprised that the examples were already a little out of date. I got quite a few deprecation warnings and one example was straight up broken because of outdated syntax, but it was easy to figure out how to fix everything.
I happen to know that the author originally presented the material as a video series and this book was transcribed by a third party and... unfortunately, it shows. There are some weird wordings that I can only assume were incorrectly transcribed, and some of the text refers to code examples that must be downloaded separately as if they're right there in the text. But again, nothing got in the way of understanding the material.