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)
Deep Learning & Machine Learning Algorithms and Applications
Introduction
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
Declarations:
- 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