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Angular and Deep Learning Pocket Primer - Campesato, Oswald
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No detailed description available for "Angular and Deep Learning Pocket Primer".

Produktbeschreibung
No detailed description available for "Angular and Deep Learning Pocket Primer".
Autorenporträt
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).
Rezensionen
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."