This repository contains all the resources which I have used to learn Deep Learning. Resources may be blogs, articles, university lectures, handwritten notes and code notebooks.
Complete resources are in accordance with this mindmap
- First access the mindmap here.
- The mindmap is divided into theoritical and practical stuffs.
- Start learning in order (mindmap have clickable links which will be redirected to this repo corresponding to the topic).
- For topics having no links associated with it in the mindmap, be patient it will be updated or you can even open an issue.
- Important Papers with their implementation will be added shortly.
- Don't get overwhelmed by number of topics. Just start one topic and complete it step by step.
- Code, code, code.
- Don't ignore theory.
- Complete Deep Learning Specialization to get basic understanding of all major fields in Deep Learning. Then after that you can go more in depth from this repository.