English | 2022 | ISBN: 1617296481 | 494 pages | True PDF | 49.14 MB
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.
Views: 6 
Comments (0)
free Math and Architectures of Deep Learning (MEAP V10), Downloads Math and Architectures of Deep Learning (MEAP V10), RapidShare Math and Architectures of Deep Learning (MEAP V10), Megaupload Math and Architectures of Deep Learning (MEAP V10), Mediafire Math and Architectures of Deep Learning (MEAP V10), DepositFiles Math and Architectures of Deep Learning (MEAP V10), HotFile Math and Architectures of Deep Learning (MEAP V10), Uploading Math and Architectures of Deep Learning (MEAP V10), Easy-Share Math and Architectures of Deep Learning (MEAP V10), FileFactory Math and Architectures of Deep Learning (MEAP V10), Vip-File Math and Architectures of Deep Learning (MEAP V10), Shared Math and Architectures of Deep Learning (MEAP V10), Please feel free to post your Math and Architectures of Deep Learning (MEAP V10) Download, Movie, Game, Software, Mp3, video, subtitle, sample, torrent, NFO, Crack, uploaded, putlocker, Rapidgator, mediafire, Netload, Zippyshare, Extabit, 4shared, Serial, keygen, Watch online, requirements or whatever-related comments here.
Related Downloads :
{related-news}