Lecture 17-34¶
Announcements¶
- Syllabus clarification: you can use slip days on P4. You (576) can't use slip days on G2.
- (576) G2 checkin
- No Week 10 problems
- End of Quarter Homework Self-Reflection due Sunday night instead
- Grading / feedback status: pretty behind =(
- P2 grades are out
- Next up: midterm wrappers; aiming for Thursday
- P3, P4 to follow
Goals¶
- Have fun and learn some things.
- Ask at least one question.
An Ambitious List of Topics¶
Modern convnets: Alexnet -> VGG -> Inception -> ResNet -> ...
Okay but the data cost
- Transfer learning - finetuning
- Un/self-supervised Learning - Contrastive Learning
Other applications:
- object detection (get boxy)
- {semantic,instance,panoptic} segmentation
- Literally every other corner of computer vision
"manifold learning" and autoencoders
Pure generative models:
- Generative Adversarial Networks
- Diffusion models
- Stable Diffusion
Language and vision:
- CLIP, DALL-E*