Back Propagation, Python
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Updated
Jun 28, 2011 - Python
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
Back Propagation, Python
A self-driving car implemented with neural networks and genetic algorithms (AI Course Project)
Language sentiment analysis and neural networks... for trolls.
Demo simulator for GNG (Growing Neural Gas) neural network
Genetic algorythm for evolving virtual creatures controlled by network
Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.
College project on classifying facial expressions using neural networks and opencv
Neural network predicting a values of temperature
Strange name, but also not mine)
Graph algorithm implemented with Apache Giraph for large-scale neural network simulation
Simple neural network implemented in Python, NumPy.
Neural Network implementation in GNU Octave
Autonomous car based on neural networks
I try to use Hessian-free optimization to train the deep neural network. The training is based on the MNIST data set.
Fixed topology neural network evolution using evolutionary strategy + genetic algorithm
Automatically exported from code.google.com/p/uwire
A implementation of neural networks for a coursework.
A Python utility for using feed-forward artificial neural networks.