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Beginning with Deep Learning Using TensorFlow
A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications
Taschenbuch von Mohan Kumar Silaparasetty
Sprache: Englisch

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Beschreibung
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
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
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 286
ISBN-13: 9789355510471
ISBN-10: 9355510470
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Silaparasetty, Mohan Kumar
Hersteller: BPB Publications
Maße: 235 x 191 x 16 mm
Von/Mit: Mohan Kumar Silaparasetty
Erscheinungsdatum: 09.02.2022
Gewicht: 0,539 kg
preigu-id: 121208020
Details
Erscheinungsjahr: 2022
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 286
ISBN-13: 9789355510471
ISBN-10: 9355510470
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Silaparasetty, Mohan Kumar
Hersteller: BPB Publications
Maße: 235 x 191 x 16 mm
Von/Mit: Mohan Kumar Silaparasetty
Erscheinungsdatum: 09.02.2022
Gewicht: 0,539 kg
preigu-id: 121208020
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