Linear Transformations - The Geometry of Neural Network Layers
A deep engineering dive into linear maps, kernel (null space), image (column space), rank-nullity theorem, and change of basis - the geometry behind every neural network layer.
A deep engineering dive into linear maps, kernel (null space), image (column space), rank-nullity theorem, and change of basis - the geometry behind every neural network layer.