Brain

Experimenting with intelligence

N-gram Model derived from scratch

Basic early models for predicting next characters based on statistics.

Deriving from scratch

Learning the inner workings of feed forward and back propagation.

Image segmentation

K-means clustering on an image

Universal function approximator

Learning Taylor Series with Backprop

Convolutions in Image Processing

Live image processing with different kernels

Optimization Functions

Surfaces like the Ackley or Bukin functions used as benchmark for optimization problems

DBSCAN Algorithm

Density-based, noise redundant clustering algorithm.