Angular and Deep Learning Primer - Brossura

Campesato, Oswald

Brossura

ISBN 10: 1683924738 ISBN 13: 9781683924739

Casa editrice: Mercury Learning & Information, 2020

Riassunto

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 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 Recurrent Units), autoencoders, and GANs (Generative Adversarial Networks)

• Introduces TensorFlow 2 and Keras

• Includes companion files with source code and 4-color figures.

The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.

Su questo libro

Informazioni sull'autore

Campesato Oswald :

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Dettagli dell'edizione

• Editore: Mercury Learning & Information
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 1683924738
• ISBN 13: 9781683924739
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 341
• Contatto del produttore: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Genthiner Straße 13; Berlin; 10785; Germania