这是一系列非常酷的深度学习项目，主要使用 PyTorch 来实现，包含计算机视觉，自然语言处理以及强化学习相关的项目练习。
开始项目之前，希望具备相关深度学习，机器学习和神经网络的预备知识。
如果你对 PyTorch 不熟悉，请先阅读 Deep Learning with PyToch: A 60 Minute Blitz 和 Learning PyTorch with Examples。
在这个项目练习中，我们会重点关注计算机视觉领域和自然语言处理的领域中的有趣应用，比赛和论文复现。
1 June 2019: The transfer learning tutorial is finally complete :)
| 项目名称 | 论文 | 教程 | 状态 |
|---|---|---|---|
| Transfer Learning for Image Classification | - | a-PyTorch-Tutorial-to-Transfer-Learning | Completed |
| Image Cpationing | Show, Attend and Tell | a-PyTorch-Project-to-Image-Caption | Completed |
| Semantic Segmentation | Pyramid Scene Parsing Network | Planned | |
| Object Detection | SSD: Single Shot MultiBox Detector | WIP | |
| Text Generation | Neural Text Generation: A Practical Guide | Planned | |
| Sequence Labelling | Empower Sequence Labeling with Task-Aware Neural Language Model | Planned | |
| Text Classification | Hierarchical Attention Networks for Document Classification | Planned | |
| Machine Translation | Sequence to Sequence Learning with Neural Networks | Planned | |
| DCGAN for Face Generation | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks | Planned | |
| DQN | Playing Atari with Deep Reinforcement Learning | Planned |