This is a repository for PyTorch Study.
It will be focusing on how to use PyTorch for deep neural networks and follow PyTorch Tutorials introduced in PyTorch.org.
Offline PyTorch Study supported by AI Robotics KR group will be held for two hours from 8 pm every Friday
- Basic Understanding for deep learning algorithms like DNN, RNN, CNN is preferred
- Experiences of Python Programing, Numpy, Pandas and Jupyter Notebook
- Passion for learning
- Learn how to use PyTorch and practice it with high-quality examples of deep learning including image classification, unsupervised learning, reinforcement learning, machine translation, and many other applications, in PyTorch Examples
- Reinforce your understanding for Deep Learning Algorithms
- Turning One-By-One, Introduction Today's topic and basic theory.
- Running Examples and Share the results
- Q & A
- Jupyter Notebook is preferred for basic tools running examples programs and explaining algorithms, etc
| Week | Subject | Presenter |
|---|---|---|
| Week 1, 7/19 | Study Introduction, Setup Environments,Deep Learning with Pytorch: A 60 Minute Blitz-1 | 최재영 |
| Week 2, 7/26 | Deep Learning with Pytorch: A 60 Minute Blitz-2 Data Loading and Processing Tutorial | 최재영 |
| Week 3, 8/9 | Learning Pytorch With Examples | LEEDONGHOON |
| Week 4, 8/16 | Transfer Learning Tutorial Saving and Loading Models | 최재영 |
| Week 5, 8/23 | DEPLOYING A SEQ2SEQ MODEL WITH TORCHSCRIPT | 최재영 |
| Week 6, 8/30 | What is torch.nn really ? | Minjeong Kim |
| Week 7, 9/6 | Torchvision 0.3 Object Detection Finetuning Tutorial | 최재영 |
| Week 8, 9/20 | FineTunning Torchvision Model, Spatial Transformer Networks Tutorial | Jungyeon Lee |
| Week 9, 9/27 | Neural Style Transfer Using Pytorch, Deep Learning for NLP With PyTorch | Yunkyu, Inhwan Lee |
| Week 11, 10/11 | DCGAN Tutorial | 최재영 |
| Week 12, 10/18 | Reinforcement Learning (DQN) Tutorial | 최재영 |