Paperback. No detailed description available for "Angular and Deep Learning Pocket Primer". Provides information to develop sophisticated Angular applications that incorporate deep learning. The first three chapters of this book contain a short tour of basic Angular functionality. The fourth chapter introduces you to deep learning. The fifth chapter discusses RNNs. The sixth chapter introduces basic TensorFlow concepts. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Titel: Angular and Deep Learning Pocket Primer (Paperback)
Verlag: Mercury Learning & Information
Ver�ffentlichungsdatum: 2020
Sprache: Englisch
ISBN-10: 1683924738
ISBN-13: 9781683924739
Bindung: Paperback
Zustand: new

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No detailed description available for "Angular and Deep Learning Pocket Primer".

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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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