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Anotace knihy

This book begins with the configuration of an Anaconda development environment, essential for practicing the deep learning process. The basics of machine learning, which are needed for Deep Learning, are explained in this book.

TensorFlow is the industry-standard library for Deep Learning, and thereby, it is covered extensively with both versions, 1.x and 2.x. As neural networks are the heart of Deep Learning, the book explains them in great detail and systematic fashion, beginning with a single neuron and progressing through deep multilayer neural networks. The emphasis of this book is on the practical application of key concepts rather than going in-depth with them.

After establishing a firm basis in TensorFlow and Neural Networks, the book explains the concepts of image recognition using Convolutional Neural Networks (CNN), followed by speech recognition, and natural language processing (NLP). Additionally, this book discusses Transformers, the most recent advancement in NLP.

TABLE OF CONTENTS

1. Introduction to Artificial Intelligence

2. Machine Learning 

3. TensorFlow Programming

4. Neural Networks

5. TensorFlow 2

6. Image Recognition

7. Speech Recognition

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik, EDV - Sonstiges

• Plný název: Beginning with Deep Learning Using TensorFlow
• Autor: Mohan Kumar Silaparasetty
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 286
• EAN: 9789355510471
• ISBN: 9355510470
• ID: 38736480
• Nakladatelství: BPB Publications
• Hmotnost: 539 g
• Rozměry: 235 × 191 × 16 mm
• Datum vydání: 09. February 2022

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