Math and Architectures of Deep Learning (MEAP)КНИГИ » ПРОГРАММИНГ
Название: Math and Architectures of Deep Learning (MEAP Version 2) Автор: Krishnendu Chaudhury Издательство: Manning Publications Co Год: 2020 Формат: true pdf/epub Страниц: 176 Размер: 15.6 Mb Язык: English
Math and Architectures of Deep Learning sets out the foundations of DL in a way that’s both useful and accessible 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. By the time you’re done, you’ll have a combined theoretical insight and practical skills to identify and implement DL architecture for almost any real-world challenge.