
Machine Learning with TensorFlow
$145.38
- Paperback
472 pages
- Release Date
15 March 2021
Summary
This fully revised second edition of Machine Learning with TensorFlow teaches you the foundational concepts of machine learning and how to utilize the TensorFlow library to rapidly build powerful ML models. You’ll learn the basics of regression, classification, and clustering algorithms, applying them to solve real-world challenges.
New and revised content expands coverage of core machine learning algorithms and advancements in neural networks such as VGG-Face facial identifi…
Book Details
| ISBN-13: | 9781617297717 |
|---|---|
| ISBN-10: | 1617297712 |
| Author: | Chris Mattmann |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 472 |
| Edition: | 2nd |
| Release Date: | 15 March 2021 |
| Weight: | 820g |
| Dimensions: | 234mm x 185mm x 28mm |
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What They're Saying
Critics Review
‘A practical, no-nonsense, original approach to machine learning.’ Alain Couniot, Sopra Steria Benelux ‘An excellent book for readers who want to learn TensorFlow and machine learning.’ Bhagvan Kommadi, ValueMomentum ‘A great way to learn the ins and outs of TensorFlow, from the fundamentals to autoencoders, CNNs, and sequence-to-sequence models.’ Ariel Gamiño, GLG ‘Full of practical examples illustrating the concepts in a clear, progressive approach. This book is worth your while!’ Alain Lompo, ISO-GRUPPE
About The Author
Chris Mattmann
Chris Mattmann is the Deputy Chief Technology and Innovation Officer at NASA Jet Propulsion Lab, where he has been recognised as JPL’s first Principal Scientist in the area of Data Science. Chris has applied TensorFlow to challenges he’s faced at NASA, including building an implementation of Google’s Show & Tell algorithm for image captioning using TensorFlow. He contributes to open source as a former Director at the Apache Software Foundation, and teaches graduate courses at USC in Content Detection and Analysis, and in Search Engines and Information Retrieval.
Nishant Shukla wrote the first edition of Machine Learning with TensorFlow.
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