hulalazz / dlcv2018spring

Deep Learning for Computer Vision (CommE 5052) in NTU

Deep Learning for Computer Vision

Lecturer: Prof. Yu-Chiang Frank Wang
Course website: http://vllab.ee.ntu.edu.tw/dlcv.html

Repo. content

1. Principal Component Analysis and k-Nearest Neighbors Classification [link]
2. Kernel method; Color and texture segmentation; Recognition with bag of visual words [link]
3. Semantic segmentation of satellite images [link]
4. Image Generation and Feature Disentanglement [link]
5. Recurrent neural networks (RNN) for action recognition [link]
6. Face Recognition and model compression [link]

Experiment environment

• OS: Ubuntu 16.04.3 LTS
• Python 3
• GPU: 1080 Ti (11G RAM)
• CPU: Xeon(R) E5-2667 v4
• RAM: 500 GB

Contact:

Feel free to contact me ([email protected]) if you have any problem.