This repository contains the learning code I use and play around for neural networks and deep learning. I use this repository to record my learning process.
The learning resources are from several sources, including but not limited to:
- Neural Networks and Deep Learning
- Andrej Karpathy's educational projects
- Coursera's courses, Machine Learning Specialization and Deep Learning Specialization
- PyTorch's examples
- PyTorch's tutorials
- Some Kaggle's competitions
- For some projects, I carefully analyze the code and print the variables to understand what is going on.
- For some projects, I try to remove the implementation and just leave the function signature and try to implement it.
- For the Coursera's courses, I do the most of the homework, and sometimes find the help of others' code to learn.
- For the kaggle's competitions I attended, I will try a lot of ways to solve first, and sometimes find the help of others' code to learn.