May 06 2024 Math and Architectures of Deep Learning (True EPUB) BaDshaH LEARNING / e-Book 16:51 0 Math and Architectures of Deep Learning (True EPUB)English | 2024 | ISBN: 1617296481 | 553 pages | True EPUB | 26.9 MB Shine a spotlight into the deep learning "black box". This comprehensive and detailed guide reveals the mathematical and architectural concepts behind deep learning models, so you can customize, maintain, and explain them more effectively.InsideMath and Architectures of Deep Learning you will findMath, theory, and programming principles side by sideLinear algebra, vector calculus and multivariate statistics for deep learningThe structure of neural networksImplementing deep learning architectures with Python and PyTorchTroubleshooting underperforming modelsWorking code samples in downloadable Jupyter notebooksThe mathematical paradigms behind deep learning models typically begin as hard-to-read academic papers that leave engineers in the dark about how those models actually function.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. Written by deep learning expert Krishnendu Chaudhury, 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.Foreword by Prith Banerjee.About the technologyDiscover what's going on inside the black box! To work with deep learning you'll have to choose the right model, train it, preprocess your data, evaluate performance and accuracy, and deal with uncertainty and variability in the outputs of a deployed solution. This book takes you systematically through the core mathematical concepts you'll need as a working data scientist: vector calculus, linear algebra, and Bayesian inference, all from a deep learning perspective.About the bookMath and Architectures of Deep Learning teaches the math, theory, and programming principles of deep learning models laid out side by side, and then puts them into practice with well-annotated Python code. You'll progress from algebra, calculus, and statistics all the way to state-of-the-art DL architectures taken from the latest research.What's insideThe core design principles of neural networksImplementing deep learning with Python and PyTorchRegularizing and optimizing underperforming modelshttps://rapidgator.net/file/789a6612bf34555571b37f6eba3971achttps://ddownload.com/6puxsebwehtu Related News Python - Complete Python, Django, Data Science And Ml GuideUdemy - Complete Machine Learning & Data Science with Python | A-ZPython Mastery For Data, Statistics & Statistical ModelingDeep Learning: Python Deep Learning MasterclassPython & Data Science with R | Python & R Programming Comments (0)Add comment Submit NEWEST RELEASES 19.05: WinCatalog 2024.7.0.519 Multilingual Portable 18.05: MediaHuman YouTube To MP3 Converter 3.9.9.92 (0518) Multilingual (x64) Portable 18.05: MediaHuman YouTube Downloader 3.9.9.92 (0518) Multilingual (x64) Portable 18.05: Allavsoft Video Downloader Converter 3.27.0.8904 Multilingual Portable 18.05: FastStone Capture 10.5 Multilingual Portable 18.05: UniFab 2.0.2.1 (x64) Multilingual Portable 18.05: Windows 7 Ultimate SP1 Multilingual Preactivated May 2024 18.05: Windows 7 Professional SP1 Multilingual Preactivated May 2024 18.05: O&O SafeErase Professional / Server 19.2.1034 (x64) 17.05: MetaProducts Portable Offline Browser 8.6.0.4976 Multilingual Portable Recommended Filehosts Freinds Site