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Angular and Deep Learning Pocket Primer

Angular and Deep Learning Pocket Primer

by Oswald Campesato
Paperback
Publication Date: 01/11/2020
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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.
The companion files are also available online by emailing the publisher with proof of purchase at info@merclearning.com.
ISBN:
9781683924739
9781683924739
Category:
Human-computer interaction
Format:
Paperback
Publication Date:
01-11-2020
Language:
English
Publisher:
Mercury Learning & Information
Country of origin:
United States
Dimensions (mm):
228.6x152.4mm
Weight:
0.5kg

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You can find this item in:

Human-computer interaction Computing & information technology Computer programming / software development Neural networks & fuzzy systems Mathematical theory of computation Artificial intelligence Machine learning
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