# Math and Architectures of Deep Learning

**Author :**Krishnendu Chaudhury**Publisher :**Manning**File Size :**41,7 Mb**Release :**26 July 2022**ISBN :**1617296481**Page :**450 pages**Rating :**4/5 (21 users)

**Summary:** Math and Architectures of Deep Learning PDF is a Fantastic Computers book by Krishnendu Chaudhury. It was published by Manning on 26 July 2022. This Book has 450 pages and Available to download in PDF, EPUB and Kindle Format. Read detail book and summary below and click download button to get book file and read directly from your devices.

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.