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Nikhil Ketkar Jojo Moolayil Deep Learning with Python (Paperback)
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- Book Title
- Deep Learning with Python
- Title
- Deep Learning with Python
- EAN
- 9781484253632
- ISBN
- 9781484253632
- Edition
- 2nd ed.
- Release Date
- 04/10/2021
- Release Year
- 2021
- Item Height
- 235mm
- Subtitle
- Learn Best Practices of Deep Learning Models with PyTorch
- Country/Region of Manufacture
- US
- Genre
- Computing & Internet
- Publication Year
- 2021
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Publication Name
- Practical Deep Learning with Pytorch : Optimizing Generative Adversarial Networks with Python
- Item Length
- 9.3in
- Publisher
- Apress L. P.
- Item Width
- 6.1in
- Item Weight
- 17.6 Oz
- Number of Pages
- Xvii, 306 Pages
關於產品
Product Information
This new edition focuses on the practical aspects of implementing deep learning solutions with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group with a hands-on approach to understanding both theory and practice. This book will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with respect to PyTorch. You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, the new edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484253639
ISBN-13
9781484253632
eBay Product ID (ePID)
22038576491
Product Key Features
Publication Name
Practical Deep Learning with Pytorch : Optimizing Generative Adversarial Networks with Python
Format
Trade Paperback
Language
English
Publication Year
2021
Type
Textbook
Number of Pages
Xvii, 306 Pages
Dimensions
Item Length
9.3in
Item Width
6.1in
Item Weight
17.6 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qa76.73.P98
Edition Number
2
Table of Content
Chapter 1 - Introduction Deep Learning.- Chapter 2 - Introduction to PyTorch.- Chapter 3- Feed Forward Networks.- Chapter 4 - Automatic Differentiation in Deep Learning.- Chapter 5 - Training Deep Neural Networks.- Chapter 6 - Convolutional Neural Networks.- Chapter 7 - Recurrent Neural Networks.- Chapter 8 - Recent advances in Deep Learning.
Copyright Date
2021
Topic
Probability & Statistics / General, Intelligence (Ai) & Semantics, General, Programming Languages / Python
Dewey Decimal
006.31
Dewey Edition
23
Illustrated
Yes
Genre
Computers, Science, Mathematics
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