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TensorFlow 2.0 pocket primer /

As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Campesato, Oswald (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Dulles, Virginia : Mercury Learning and Information, [2020]
Colección:Pocket primer.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a TensorFlow 2.0 pocket primer /  |c Oswald Campesato. 
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490 1 |a Pocket primer series 
500 |a Includes index. 
505 0 |a Preface -- Introduction to TensorFlow 2 -- Useful TF 2 APIs -- TF2 datasets -- Linear regression -- Working with classifiers -- Appendix: TF 2, Keras, and advanced topics. 
520 |a As part of the best-selling Pocket Primer series, this book is designed to introduce beginners to basic machine learning algorithms using TensorFlow 2. It is intended to be a fast-paced introduction to various "core" features of TensorFlow, with code samples that cover machine learning and TensorFlow basics. A comprehensive appendix contains some Keras-based code samples and the underpinnings of MLPs, CNNs, RNNs, and LSTMs. The material in the chapters illustrates how to solve a variety of tasks after which you can do further reading to deepen your knowledge 
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