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Angular and Deep Learning Pocket Primer

by Oswald Campesato

2020-12-30 10:59:15

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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate thatknowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic f... Read more
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate thatknowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of severalpopular 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 code and color figures are included. FEATURES: Introduces basic deep learning concepts and Angular 10 applications Covers MLPs (MultiLayer Perceptrons) and CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory), GRUs (Gated RecurrentUnits), autoencoders, and GANs (Generative Adversarial Networks) Introduces TensorFlow 2 and Keras Includes companion files with source code and 4-color figures. Less

Book Details

File size9 X 6 X 0 in
Print pages342
PublisherMercury Learning & Information
Publication date October 13, 2020
Languageeng
ISBN9781683924722
autor-image
Oswald Campesato
Author
...

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