As a master student in the last year of study, I am preparing for my PhD travel,that is, to build new optical tools for the neuro-study. I want to drive this car called pytorch and use my GPU as a strong engine. As mentioned by the name of this repository, I want to write down my steps to master this extraordinary tool. Good Luck for me！
All this code will run on Apple Macbook Air with M1 chip. The code are tested on an environment of conda torch-mps with python 3.9.21. Librairies used: pytorch, numpy, matplotlib, etc.
As a student without the background in computer science, I suggest myself to focus on three key points:
- Understand the basic concepts of deep learning and neural networks.
- Know different types of neural networks and study stragegies.
- Various applications of transfer learning and fine-tuning.