Campesato O. Angular and Deep Learning Pocket Primer 2021 torrent

Textbook in PDF format

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 source code and color figures are available for downloading with Amazon order number by writing to [email protected].
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
Brief Table of Contents
1: Quick Introduction to Angular. 2: UI Controls, User Input, and Pipes. 3: Forms and Services. 4: Deep Learning Introduction. 5: Deep Learning: RNNs and LSTMs. 6: Angular and TensorFlow.js. Appendices: A. Introduction to Keras. B. Introduction to TensorFlow 2. C. TensorFlow 2 Datasets. Index.
About the Author
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning)