Angular and Deep Learning Pocket Primer
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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.
"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 discussions of basic deep learning concepts, accompanied by algorithms and code files that demonstrate how these concepts work in the Angular 10 environment. Chapters cover TensorFlow 2 and Keras as they examine subjects such as pipes and UI controls, data binding models, architectures for deep learning, and creating histograms, heat maps, and more. Those seeking a quick learning approach to Angular and the deep learning environment will find this pocket primer''s examples and references lend nicely to refresher courses and new introductions alike."
Get Angular and Deep Learning Pocket Primer by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Mercury Learning & Information and it has pages.
