NOTE: This repo is currently being fixed and finished!
- I am now re-implementing all of the codes in Pytorch (Don't worry if you are only familiar with PyTorch now!)
- In the future, this document will be transformed into an interactive e-book for easy searching and studying
- Now that I am working on my own, if you are interested in ML/DL/CV, please email me and welcome to my workspace! (You can find my email on my Github Homepage)
To better express these concepts and bring the general public into the domains of Machine Learning and Deep Learning, I am creating and organizing this repository to display comprehensive facts and expertise in an approachable manner. To be honest, developing complete specialities is difficult and time intensive. As a result, if there is an error or something incorrect, I would appreciate all corrections and recommendations.
I'd want to thank all of my teachers and professors for their help and guidance during my education.
This program includes:
- Machine Learning Specialization
- Matrix Methods in Data Mining and Pattern Recognition (A new viewpoint of ML problems)
- Deep Learning Specialization
- Deep Learning in Computer Vision
- The Collection of Relavant Papers
- The Proofs of All Applied Axioms
- All Codes Implemented by Tensorflow 2.x Currently
- Feel free to share but DO NOT replicate, sell, or any commercial behaviors
- Appreciate all instructors and professors who contribute to these contents
- All the contents have the permissions to share and propagate
- Keep to the Open-source Protocol
© 2022 - Peiran in USA - All rights reserved