SNo. | Examples | Comments |
---|---|---|
0 | Basic Operations | Mat Mul , Gradient Checking |
1 | Feed Forward MNIST | Two Layer Network |
2 | Linear Regression | Plotting Examples |
3 | Logistic Regression | MNIST Dataset |
4 | Simple CNN | CNN on MNIST |
5 | Wide Resnet | CIFAR 10, original code, arxiv |
6 | Tensorboard Example | Refactor Code with TFBoard |
7 | CIFAR 10 | With SENET Arch |
8 | Pre Trained Model | With MNIST |
9 | Predict Fast AI | Fast dot ai pytorch predict |
10 | DogsvsCats | Initial Code |
Resources
- Deep Learning Course
- ULaval Tutorial
- PyTorch for DL researchers
- Fast AI Coursework
- MILA PyTorch
- CS-224n
- CS-231n
- PyTorch Exercise
TODO:
- Word Embedding (http://on-demand.gputechconf.com/gtc/2017/video/s7634-jeremy-howard-build-a_neural_translation_system_from_scratch_with_pytorch.mp4)
- Style Transfer
- RNN
- Mixture Of Expert
- Model Compression
- Adversarial Generation
- Time Series
- Attention
- Document Summarization