Math and Architectures of Deep Learning
(Autor) Krishnendu ChaudhuryMath 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. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You'll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you'll be glad you can quickly identify and fix problems.
Krishnendu Chaudhury
Krishnendu Chaudhury is an acclaimed Indian author known for his novel "The Butterfly Effect," which explores the interconnectedness of human lives. His lyrical prose and intricate storytelling have earned him critical acclaim for his ability to delve into complex emotional landscapes. Chaudhury's work continues to inspire and resonate with readers worldwide.