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Mixed media product
November 2020
9781683924739
More details
- Publisher
Mercury Learning & Information - Published
16th November 2020 - ISBN 9781683924739
- Language English
- Pages 342 pp.
- Size 6" x 9"
$39.95
E-Book (ePub)
October 2020
9781683924722
More details
- Publisher
Mercury Learning & Information - Published
13th October 2020 - ISBN 9781683924722
- Language English
- Pages 342 pp.
- Size 6" x 9"
$34.95
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October 2020
9781683924715
More details
- Publisher
Mercury Learning & Information - Published
13th October 2020 - ISBN 9781683924715
- Language English
- Pages 342 pp.
- Size 6" x 9"
$179.95
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.
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
Oswald Campesato
Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Data Cleaning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow Pocket Primer; Artificial Intelligence, Machine Learning, and Deep Learning; Android Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).