Loading...
Tutorials
If you're after a tutorial on a particular topic, please request for it here.
Simple Linear Algebra (Refresh Tutorials)
Learning
Supervised
Neural Networks & Back-Propagation
I have created a python multi-layer feed-forward back-propagation neural-network module in python, and have 3 programs so far that make use if it, each documented in it's own page...
- Learning Logical XOR - Simplest
- Learning Binary to Fraction - Simple
- Learning Code (Language) Recognition - Little more Complex
- Source code for all the apps above, and the BPNN python module.
Another piece of code for a neural network trained via back-propagation , this time with a hard-coded 1 hidden layer, written in C, with the partner app - face recognition.
Neural Network via Mathematics & Propositional Logic
- In this tutorial, you will learn how to create a neural network by hand (i.e. not via learning) that can model a linearly inseparable function, mathematically, using propositional logic.
Single-Layer Neural Network & Perceptron Learning
- Given a set of data points, and given that the data is linearly separable, this tutorial will show you how perceptron learning can be used.
Unsupervised
Q-Learning
- A Q-Learning tutorial solved both mathematically, and via Q-Learning.
Search
Local Search
- A* tutorial with performance comparison between two heuristics.
