The Neural Aesthetic @ ITP-NYU, Fall 2018
Lecture 4: Applications of neural nets [9/25/2018]
[Slides]
- Announcements (0:00)
- Deep learning frameworks (7:23)
- Feature vectors (12:18)
- Embeddings (17:35)
- Review of neural nets, gradient descent, & feature extraction (21:17)
- Word vectors & properties of language embeddings (30:45)
- Sentence/paragraph vectors, language models & story generation (35:24)
- Applications of feature vectors (50:25)
- Introduction to ml4a-guides & Jupyter Lab (1:06:55)
- Tutorial: image feature extraction (1:24:33)
- Tutorial: reverse image search (1:48:13)
- Tutorial: shortest path (X degrees of separation) (1:58:49)
- t-SNE & data dataset visualization (2:08:15)
- Tutorial: t-SNE of images (2:13:22)
- Organizing sound clips with t-SNE (2:19:30)
- Tutorial: audio t-SNE (2:22:35)
- Interacting with t-SNE viewer (openFrameworks) (2:27:15)
- ml5-examples (YOLO) & JavaScript demos (2:32:09)
- Summary of practical materials & about mid-term mini-presentation (2:35:14)