Simple algorithms to approach machine learning

Hi guys,

I’m collecting some algorithms here:

for a didactic approach to machine learning.

For the moment you find:

  • Perceptron single neuron
  • Perceptron multilayer
  • Cluster Graph k-means
  • Cluster Graph affinity propagation
  • Cluster Graph agglomerative hierarchical

Future update:

  • simple mnist convolutional neural network
  • simple mnist recurrent neural network

sample image:

ATTENTION: these algorithms are very simple
And written entirely in c++, these algorithms are usually implemented in a cuda for best performances.

good day


Hi, added Restricted Boltzmann Machine example.