119,78 €
133,09 €
-10% with code: EXTRA
Math and Architectures of Deep Learning
119,78 € 
- We will send in 10–14 business days.
Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of…
133.09
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- Author: Krishnendu Chaudhury
- Publisher: Manning Publications
- Year: 2020
- Pages: 450
- ISBN-10: 1617296481
- ISBN-13: 9781617296482
- Format: 18.5 x 23.4 x 3.3 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.EXTRA 10 % discount with code: EXTRA
119,78 €
133,09 €
We will send in 10–14 business days.
The promotion ends in 22d.05:39:24
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- Author: Krishnendu Chaudhury
- Publisher: Manning Publications
- Year: 2020
- Pages: 450
- ISBN-10: 1617296481
- ISBN-13: 9781617296482
- Format: 18.5 x 23.4 x 3.3 cm, minkšti viršeliai
- Language: English English
Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. You'll peer inside the "black box" to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. Math and Architectures of Deep Learning sets out the foundations of DL usefully and accessibly to working practitioners. Each chapter explores a new fundamental DL concept or architectural pattern, explaining the underpinning mathematics and demonstrating how they work in practice with well-annotated Python code. You'll start with a primer of basic algebra, calculus, and statistics, working your way up to state-of-the-art DL paradigms taken from the latest research. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Reviews