erenup/deeplearningbasics
Deep Learning and Mathematics Basics
This educational resource helps deep learning enthusiasts, students, job seekers, and new algorithm engineers understand the mathematical foundations and core models of deep learning. It takes complex concepts, provides detailed explanations of underlying math like gradients and linear algebra, and demonstrates their application in common deep learning tasks. The result is a solid theoretical and practical understanding, enabling users to confidently build and apply deep learning models.
106 stars. No commits in the last 6 months.
Use this if you have basic high school/college math and Python skills and want a comprehensive, structured guide to deeply understand deep learning's mathematical underpinnings and practical applications.
Not ideal if you are looking for an advanced research paper implementation or a quick API reference without needing to delve into the theoretical details.
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Aug 19, 2021
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