TensorFlow 2 Pocket Primer

TensorFlow 2 Pocket Primer

Author
Oswald Campesato
Publisher
Mercury Learning & Information
Language
English
Year
2019
Page
252
ISBN
1683924606,9781683924609
File Type
pdf
File Size
7.4 MiB

As part of thebest-selling Pocket Primer series, thisbook is designed to introducebeginners to basic machine learning algorithms using TensorFlow 2. It isintended to be a fast-paced introduction to various “core” features ofTensorFlow, with code samples that cover machine learning and TensorFlowbasics. A comprehensive appendix contains someKeras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material inthe chapters illustrates how to solve a variety of tasks after which you can dofurther reading to deepen your knowledge. Companion files with all of the codesamples are available for downloading from the publisher by emailing proof of purchase to [email protected].
Features:

Uses Python for codesamples Covers TensorFlow 2 APIsand Datasets Includes a comprehensiveappendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs Features the companion files with all of thesource code examples and figures (download fromthe publisher)

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