Practical Deep Learning with PyTorch: Optimizing Generative Adversarial Networks with Python
Language: English
Published by Apress, 2021
- Softcover
- New
Seller: Books Puddle, Woodside, NY, U.S.A.Books Puddle
4-star seller
AbeBooks seller since November 22, 2018
Softcover
Condition: New
US$ 57.36
US$ 3.99 shipping
Ships within U.S.A.
Quantity: 1 available
Add to basketFree 30-day returns
Item description from seller
pp. 245.
Seller Inventory # 26376403382
- Title
- Practical Deep Learning with PyTorch: Optimizing Generative Adversarial Networks with Python
- Author
- Ketkar, Nikhil; Moolayil, Jojo
- Publisher
- Apress
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484253639
- ISBN 13
- 9781484253632
- Edition
- 2nd Edition
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group.
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, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch.
What You'll Learn
- Review machine learning fundamentals such as overfitting, underfitting, and regularization.
- Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent.
- Apply in-depth linear algebra with PyTorch
- Explore PyTorch fundamentals andits building blocks
- Work with tuning and optimizing models
Beginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.
"Synopsis" may belong to another edition of this title.
About the Author
Nikhil S. Ketkar currently leads the Machine Learning Platform team at Flipkart, India's largest e-commerce company. He received his Ph.D. from Washington State University. Following that he conducted postdoctoral research at University of North Carolina at Charlotte, which was followed by a brief stint in high frequency trading at Transmaket in Chicago. More recently he led the data mining team in Guavus, a startup doing big data analytics in the telecom domain and Indix, a startup doing data science in the e-commerce domain. His research interests include machine learning and graph theory.
Jojo Moolayil is an artificial intelligence, deep learning, machine learning, and decision science professional and is a published author of the book Smarter Decisions - The Intersection of IoT and Decision Science. He has worked with several industry leaders on high-impact and critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Ads as AI Research scientist. He was born and raised in Pune, India and graduated from the University of Pune with a major in Information Technology Engineering. He started his career with Mu Sigma Inc., the world's largest pure-play analytics provider and worked with the leaders of many Fortune 50 clients. He later worked with Flutura - an IoT analytics startup and GE. He currently resides in Vancouver, BC. Apart from writing books on decision science and IoT, Jojo has also been a technical reviewer for various books on machine learning, deep learning and business analytics with Apress and Packt publications. He is an active data science tutor and maintains a blog at
Jojo Moolayil is an artificial intelligence, deep learning, machine learning, and decision science professional and is a published author of the book Smarter Decisions - The Intersection of IoT and Decision Science. He has worked with several industry leaders on high-impact and critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Ads as AI Research scientist. He was born and raised in Pune, India and graduated from the University of Pune with a major in Information Technology Engineering. He started his career with Mu Sigma Inc., the world's largest pure-play analytics provider and worked with the leaders of many Fortune 50 clients. He later worked with Flutura - an IoT analytics startup and GE. He currently resides in Vancouver, BC. Apart from writing books on decision science and IoT, Jojo has also been a technical reviewer for various books on machine learning, deep learning and business analytics with Apress and Packt publications. He is an active data science tutor and maintains a blog at
"About the title" may belong to another edition of this title.
Books Puddle
Woodside, NY, U.S.A.
4-star seller
AbeBooks seller since November 22, 2018
Shipping rates within U.S.A.
| Item | 12 to 19 business days | 12 to 14 business days |
|---|---|---|
| First item | US$ 3.99 | US$ 6.99 |
Payment methods
Store description
I mainly carry imported books from South East Asia / South Asia for readers of all Age Groups.
Specialty
South Asian and South East Asian Culture, Religion, Art etcSeller's business information
PLETOS INC
6931 51st Avenue, WOODSIDE
Woodside, NY U.S.A. 11377
Terms of sale
We accept return for those books which are received damaged. Though we take appropriate care in packing to avoid such situation.