The Neural Aesthetic @ ITP-NYU, Fall 2018
Lecture 1: The whole class "in 60 minutes" [9/10/2018]
[Slides]
- Introduction (0:00)
- Course logistics (3:21)
- Syllabus (8:13)
- Tools and frameworks (16:43)
- Introduction to machine learning (27:06)
- AI resurgence and deep learning (36:36)
- Characteristics of deep learning (47:11)
- Types of machine learning (51:22)
- Supervised learning (55:14)
- Examples of supervised learning (1:02:42)
- Neural networks and feature extraction (1:15:28)
- Core applications of feature extraction (1:18:20)
- Interactive machine learning (1:24:40)
- Deepdream, style transfer, and texture synthesis (1:31:40)
- Generative models (1:36:19)
- Conditional generative models (Image-to-image) (1:46:18)
- Voice synthesis, language models, and miscellaneous (2:01:30)
- Reinforcement learning and decentralized AI (2:07:35)