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SKU/Artículo: AMZ-B07XD5R1XZ
TensorFlow 2 Pocket Primer
Format:
Kindle
Detalles del producto
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.94 kg
0.94 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- 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. Companion files with all of the code samples are available for downloading with Amazon order number by writing to [email protected]. Features +Uses Python for code samples +Covers TensorFlow 2 APIs and Datasets +Includes a comprehensive appendix that covers Keras and advanced topics such as NLPs, MLPs, RNNs, LSTMs +Features the companion files with all of the source code examples and figures (available for downloading by writing to [email protected].. Brief Table of Contents 1: Introduction to TensorFlow 2. 2: Useful TensorFlow 2 APIs. 3: TensorFlow 2 Datasets. 4: Linear Regression. 5: Working with Classifiers. Appendix: TF2, Keras, and Advanced Topics. Index. On The Companion Files! (available for downloading by writing to available for downloading by writing to [email protected]. +Source code samples from the text +Figures About the Author Oswald Campesato (San Francisco, CA) specializes in Data Cleaning, Python, Android, and CSS3/SVG graphics. He is the author/co-author of over twenty-five books including the Android Pocket Primer, Python for TensorFlow Pocket Primer, and the Python Pocket Primer (Mercury Learning).
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