Applied Deep Learning with TensorFlow 2

Name: Applied Deep Learning with TensorFlow 2
Brand: APress
SKU: 9781484280195
Price: 1155 CZK
Availability: InStock

Autor: Michelucci, Umberto

Jazyk:

Vazba: Brožovaná

Vydavatel: APress

Dostupnost: Skladem u dodavatele

Odesíláme za 9-15 dnů

1 155 Kč

Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras....

Informace o knize

Autor

Michelucci, Umberto

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2022

Stránek

380

EAN

9781484280195

ISBN

1484280199

Enbook ID

38904552

Vydavatel

APress

Hmotnost

768

Rozměry

176 x 253 x 31

Kompletní popis

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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Applied Deep Learning with TensorFlow 2

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