Könyv Applied Deep Learning with TensorFlow 2 Michelucci

Applied Deep Learning with TensorFlow 2

Szerző: Michelucci, Umberto
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: APress
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
19 861 Ft
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras....

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2022
oldal
380
EAN
9781484280195
ISBN
1484280199
Enbook ID
38904552
Kiadó
Súly
768
Méretek
176 x 253 x 31

Teljes leírás

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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