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Applied Deep Learning with TensorFlow 2

Language EnglishEnglish
Book Paperback
Book Applied Deep Learning with TensorFlow 2 Michelucci
Libristo code: 38904552
Publishers APress, March 2022
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras.... Full description
? points 135 b
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Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: -Understand the fundamental concepts of how neural networks work-Learn the fundamental ideas behind autoencoders and generative adversarial networks

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About the book

Full name Applied Deep Learning with TensorFlow 2
Language English
Binding Book - Paperback
Date of issue 2022
Number of pages 380
EAN 9781484280195
ISBN 1484280199
Libristo code 38904552
Publishers APress
Weight 768
Dimensions 176 x 253 x 31
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