{"product_id":"math-and-architectures-of-deep-learning-paperback","title":"Math and Architectures of Deep Learning - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKrishnendu Chaudhury\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003ci\u003eMath and Architectures of Deep Learning\u003c\/i\u003e sets out the foundations of DL usefully and accessibly to working practitioners.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eMath and Architectures of Deep Learning\u003c\/i\u003e 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. \u003cp\u003e\u003c\/p\u003e \u003ci\u003eMath and Architectures of Deep Learning\u003c\/i\u003e 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. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eKrishnendu Chaudhury\u003c\/b\u003e is a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems. He is presently CTO and co-founder of Drishti Technologies. He has a PhD in computer science from the University of Kentucky at Lexington.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 535\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.13 x 9.25 x 7.38 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 19, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47408208806137,"sku":"9781617296482","price":100.78,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/ZXQrM24xZTBVTVFTOGtLSmZhaUpNdz09.webp?v=1770708078","url":"https:\/\/bookscloud.io\/products\/math-and-architectures-of-deep-learning-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}