Name: Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (en Inglés)
Price: 45500.00 CLP
Availability: InStock
Author: Silaparasetty, Mohan Kumar
ISBN: 9789355510471

portada Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (en Inglés)

Formato

Libro Físico

Autor

Mohan Kumar Silaparasetty

Editorial

Bpb Publications

Idioma

Inglés

N° páginas

286

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 1.5 cm

Peso

0.49 kg.

ISBN13

9789355510471

Categorías

Lenguaje natural y traducción automática
Redes neuronales y sistemas difusos
Reconocimiento de formas
Visión por ordenador

Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (en Inglés)

Mohan Kumar Silaparasetty (Autor) · Bpb Publications · Tapa Blanda

Libro Físico

$ 45.500

$ 91.000

Ahorras: $ 45.500

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (en Inglés)"

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 CONTENTS1. Introduction to Artificial Intelligence2. Machine Learning 3. TensorFlow Programming4. Neural Networks5. TensorFlow 26. Image Recognition7. Speech Recognition