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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artif
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eBay item number:395279559028
Item specifics
- Condition
- ISBN-13
- 9781484289303
- Book Title
- Pro Deep Learning with TensorFlow 2.0
- ISBN
- 9781484289303
- Subject Area
- Computers, Science, Mathematics
- Publication Name
- Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
- Item Length
- 10 in
- Publisher
- Apress L. P.
- Subject
- Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Programming Languages / Python
- Publication Year
- 2023
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Width
- 7 in
- Item Weight
- 44.4 Oz
- Number of Pages
- Xx, 652 Pages
About this product
Product Information
This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you will learn about convolutional neural networks, including new convolutional methods such as dilated convolution, depth-wise separable convolution, and their implementation. You'll then gain an understanding of natural language processing in advanced network architectures such as transformers and various attention mechanisms relevant to natural language processing and neural networks in general. As you progress through the book, you'll explore unsupervised learning frameworks that reflect the current state of deep learning methods, such as autoencoders and variational autoencoders. The final chapter covers the advanced topic of generative adversarial networks and their variants, such as cycle consistency GANs and graph neural network techniques such as graph attention networks and GraphSAGE. Upon completing this book, you will understand the mathematical foundations and concepts of deep learning, and be able to use the prototypes demonstrated to build new deep learning applications. What You Will Learn Understand full-stack deep learning using TensorFlow 2.0 Gain an understanding of the mathematical foundations of deep learning Deploy complex deep learning solutions in production using TensorFlow 2.0 Understand generative adversarial networks, graph attention networks, and GraphSAGE Who This Book Is For: Data scientists and machine learning professionals, software developers, graduate students, and open source enthusiasts.
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484289307
ISBN-13
9781484289303
eBay Product ID (ePID)
10057264003
Product Key Features
Publication Name
Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python
Format
Trade Paperback
Language
English
Subject
Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Programming Languages / Python
Publication Year
2023
Type
Textbook
Subject Area
Computers, Science, Mathematics
Number of Pages
Xx, 652 Pages
Dimensions
Item Length
10 in
Item Width
7 in
Item Weight
44.4 Oz
Additional Product Features
Edition Number
2
Number of Volumes
1 Vol.
Lc Classification Number
Q334-342
Table of Content
Chapter 1: Mathematical Foundations.- Chapter 2: Introduction to Deep learning Concepts and Tensorflow 2.0.- Chapter 3: Convolutional Neural networks.- Chapter 4: Natural Language Processing.- Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders.- Chapter 6: Advanced Neural Networks.
Copyright Date
2023
Dewey Decimal
006.3
Dewey Edition
23
Illustrated
Yes
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eBay item number:395279559028
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