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
- simple mnist convolutional neural network
- simple mnist recurrent neural network
ATTENTION: these algorithms are very simple
And written entirely in c++, these algorithms are usually implemented in a cuda for best performances.