Deep Learning With Python : Learn Best Practices of Deep Learning Models With Pytorch
Language: English
Published by Apress, 2021
- Softcover
- Used

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- Title
- Deep Learning With Python : Learn Best Practices of Deep Learning Models With Pytorch
- Author
- Ketkar, Nikhil; Moolayil, Jojo
- Publisher
- Apress
- Publication year
- 2021
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484253639
- ISBN 13
- 9781484253632
- Edition
- 2nd Edition
- 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
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About the Author
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.
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