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Paperback
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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.
Industry Reviews
"Addingto the Pocket Primer series is a fine introduction to basic deep learningapproaches to Angular 10 applications, offering computer users a fast way toapplying knowledge to real-world activities. Computer users should expectdiscussions of basic deep learning concepts, accompanied by algorithms and codefiles that demonstrate how these concepts work in the Angular 10 environment.Chapters cover TensorFlow 2 and Keras as they examine subjects such as pipesand UI controls, data binding models, architectures for deep learning, andcreating histograms, heat maps, and more. Those seeking a quick learningapproach to Angular and the deep learning environment will find this pocketprimer's examples and references lend nicely to refresher courses and newintroductions alike."
--BookwatchISBN: 9781683924739
ISBN-10: 1683924738
Series: Pocket Primer
Published: 16th November 2020
Format: Paperback
Language: English
Number of Pages: 360
Audience: Professional and Scholarly
Publisher: De Gruyter
Country of Publication: US
Dimensions (cm): 22.86 x 15.24 x 1.91
Weight (kg): 0.52
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