ISBN: 979-8317184414
Published: April 8, 2025
Categories: Books Computers & Technology Computer Science AI & Machine Learning Neural Networks
This comprehensive guide to pytorch provides readers with in-depth knowledge and practical skills. Whether you're a beginner or an experienced professional, this book will help you master Books.
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"The interdisciplinary approach to Neural Networks demonstrated in this text bridges the gap between pytorch and AI & Machine Learning in ways few othe..."
"As a professor of AI & Machine Learning, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatmen..."
"Changed how I think about pytorch. Highly recommend!..."
The interdisciplinary approach to Neural Networks demonstrated in this text bridges the gap between pytorch and AI & Machine Learning in ways few other works have attempted.
As a professor of AI & Machine Learning, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of Neural Networks is particularly thorough and well-researched.
Changed how I think about pytorch. Highly recommend!
As a professor of Computers & Technology, I find this volume to be an indispensable resource for both undergraduate and graduate students. The treatment of pytorch is particularly thorough and well-researched.
The interdisciplinary approach to pytorch demonstrated in this text bridges the gap between pytorch and pytorch in ways few other works have attempted.
This is a comment about the book. I particularly liked the parts about pytorch. Would recommend to anyone interested in Computers & Technology!
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This is a comment about the book. I particularly liked the parts about pytorch. Would recommend to anyone interested in Neural Networks!
Reply
This is a nested (level 1) comment about the book. I particularly liked the parts about pytorch. Would recommend to anyone interested in Books!
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December 8, 2025This is a nested (level 1) comment about the book. I particularly liked the parts about pytorch. Would recommend to anyone interested in Computer Science!