Pocket Primer Series Read Description

Angular and Deep Learning Pocket Primer

Mixed media product
September 2020
9781683924739
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683924739
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$39.95
E-Book (ePub)
September 2020
9781683924722
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683924722
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$34.95
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September 2020
9781683924715
More details
  • Publisher
    Mercury Learning & Information
  • ISBN 9781683924715
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$179.95

As part of the best-selling Pocket Primer series, this book provides readers with enough information to develop Angular applications that incorporate deep learning. The first three chapters contain a short tour of basic Angular functionality, such as UI components and forms in Angular applications. The fourth chapter introduces you to deep learning, the problems it can solve, and some challenges for the future. You will also learn about MLPs (MultiLayer Perceptrons), CNNs (Convolutional Neural Networks), and a Keras-based code sample of a CNN with the MNIST dataset. The fifth chapter discusses RNNs, BPTT, as well as LSTMs and AEs (Auto Encoders). The sixth chapter introduces basic TensorFlow concepts, followed by tensorflowjs (i.e., TensorFlow in modern browsers), and some examples of Angular applications combined with deep learning. The files with code and color figures are on the companion disc with the book or available from the publisher.

Features:

  • Introduces the basic deep learning concepts and Angular applications
  • Includes companion files with code samples and 4-color figures

1: Quick Introduction to Angular
2: UI Components
3: Forms in Angular Applications
4: Introduction to Deep Learning
5: RNNs, BPTT, LSTMs, and Auto Encoders
6: TensorFlow and TensorFlow.js
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 LearningAndroid Pocket Primer, Angular4 Pocket Primer, and the Python Pocket Primer (Mercury Learning).