Introduction, neural networks
Class notes
Introduction ("The whole class in 1 hour")
- Supervised and unsupervised learning
- Linear classifiers
- What are neural networks
- Convolutional neural networks (quick run-through)
- Convolution + pooling layers
- ofxCcv demo
- Applications of activations
- Probing neurons, Deepdream, Style transfer
- t-SNE visualization
Demos
Further reading