FIELD NOTES01
How a convolutional network classifies an image
Convolution, activation, and pooling in the image classifier used by the demo.
Essays, notebooks, and field notes connected by visual studies.
Convolution, activation, and pooling in the image classifier used by the demo.
Velocity, pressure, and the controls behind the fluid demo.
Weighted sums, padding, and the filters used by the convolution demo.
A walkthrough of the calculations in the small model used by the 3D visualization.
Token embeddings, attention, and sampling in the GPT-2 visualization.