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...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Dulles, Virginia :
Mercury Learning and Information,
[2020]
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Colección: | Pocket primer.
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Temas: | |
Acceso en línea: | Texto completo |
Sumario: | 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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Notas: | Includes index. |
Descripción Física: | 1 online resource (xx, 230 pages) : illustrations |
ISBN: | 9781683924616 1683924614 9781683924593 1683924592 |