Angular and Deep Learning Pocket Primer

by Oswald Campesato

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.


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

342 pages, Unknown Binding

Published October 13, 2020