Oswald Campesato 
Angular and Deep Learning Pocket Primer [PDF ebook] 

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, Tensor Flow, and Keras. Companion files with code and color figures are included.




FEATURES:

• Introduces basic deep learning concepts and Angular 10 applications

• Covers MLPs (Multi Layer 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 Tensor Flow 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 [email protected].