Angular and Deep Learning Pocket Primer (Computing)

Campesato, Oswald

ISBN 10: 1683924738 / ISBN 13: 9781683924739

Published by Mercury Learning & Information, 2020

Special order direct from the distributor. Seller Inventory # ING9781683924739

Synopsis:

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.

About the Author: Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

Bibliographic Details

Title: Angular and Deep Learning Pocket Primer (...
Publisher: Mercury Learning & Information
Publication Date: 2020
Binding: Paperback
Condition: New