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Angular and Deep Learning Pocket Primer - Softcover

 
9781683924739: Angular and Deep Learning Pocket Primer

Synopsis

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.

"synopsis" may belong to another edition of this title.

About the Author

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

"About this title" may belong to another edition of this title.

  • PublisherMercury Learning and Information
  • Publication date2020
  • ISBN 10 1683924738
  • ISBN 13 9781683924739
  • BindingPaperback
  • LanguageEnglish
  • Number of pages342

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bookwatch: Adding to the Pocket Primer series is a fine introduction to basic deep learning approaches to Angular 10 applications, offering computer users a fast way to applying knowledge to real-world activities. Computer users should expect . Seller Inventory # 338711485

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