BOOKS - PROGRAMMING - Angular and Deep Learning Pocket Primer
Angular and Deep Learning Pocket Primer - Oswald Campesato 2021 PDF Mercury Learning & Information BOOKS PROGRAMMING
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Angular and Deep Learning Pocket Primer
Author: Oswald Campesato
Year: 2021
Number of pages: 358
Format: PDF
File size: 10 MB
Language: ENG

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with source code and color figures are available for downloading with Amazon order number by writing to info'merclearning.com.

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