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9781683924739

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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. --Bookwatch

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. --Bookwatch

"""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."" --Bookwatch"

"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 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."""

Author Information

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

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