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

Silaparasetty, Mohan Kumar

ISBN 10: 9355510470 / ISBN 13: 9789355510471

Verlag: BPB Publications, 2022

Beschreibung

Book has little sign of wear or use.

Bestandsnummer des Verkäufers BVV.9355510470.VG

Bibliografische Details

• Titel: Beginning with Deep Learning Using TensorFlow: A Beginners Guide to TensorFlow and Keras for Practicing Deep Learning Principles and Applications (English Edition)
• Verlag: BPB Publications
• Erscheinungsjahr: 2022
• Sprache: Englisch
• ISBN-10: 9355510470
• ISBN-13: 9789355510471
• Einband: Softcover
• Zustand: very_good

Über diesen Titel

Inhaltsangabe

A Practicing Guide to TensorFlow and Deep Learning

Key Features

● Equipped with a necessary introduction to Deep Learning and AI.

● Includes demos and templates to give your projects a good start.

● Find more on the most important facets of AI, image, and speech recognition.

Description

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.

What you will learn

● Create machine learning models for classification and regression.

● Utilize TensorFlow 1.x to implement neural networks.

● Work with the Keras API and TensorFlow 2.

● Learn to design and train image categorization models.

● Construct translation and Q & A apps using transformer-based language models.

Who this book is for

This book is intended for those new to Deep Learning who want to learn about its principles and applications. Before you begin, you'll need to be familiar with Python.

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

Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.