Lecture 17: Introduction to Computer Vision
Neural networks, convolutional filters, and transfer learning with frozen image features
Slides
Demo
Outline
- Neural networks and learned features
- Images, convolutions, and CNNs
- Pretrained ImageNet predictions and their limitations
- Frozen feature extraction for food classification
- Evaluation, error analysis, and the connection to HW7