Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

$15.99

Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
Authors: Umberto Michelucci
Year: 2022
Publisher: Apress
Language: english
ISBN 13: 9781484280195
ISBN 10: 1484280199
Categories: Computers, Computer Science
Pages: 206
Edition:

Availability: 5000 in stock

SKU: 9781484280195 Categories: ,

Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 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 notbooks 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 notbook 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 • Be able to try all the examples with complete code examples that you can expand for your own projects • Have available a complete online companion book with examples and tutorials. This book is for: Readers with an intermediate understanding of machine learning, linear algebra, calculus, and basic Python programming. Categories:
Computers Computer Science
Year:
2022
Publisher:
Apress
Language:
english
Pages:
397
ISBN 10:
1484280199
ISBN 13:
9781484280195
File:
16.64 MB

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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
$15.99

Availability: 5000 in stock