Math and Architectures of Deep Learning
Math and Architectures of Deep Learning presents a focused exploration of the mathematical ideas and architectural principles associated with deep learning. Written by Krishnendu Chaudhury, it is suited to readers who want a clearer foundation for studying how deep learning systems are structured and understood.
About This Book
Math and Architectures of Deep Learning examines the relationship between mathematical concepts and the design of deep learning systems.
Written by Krishnendu Chaudhury, the book is focused on the foundations that support modern deep learning architectures.
It provides a subject-centered resource for readers interested in understanding deep learning through both theory and architecture.
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