I am currently competing for the Hackaday Prize 2015. The grand prize is a trip to space, a dream (yes, just a dream) since my childhood. You can support me by following me and giving my project 'skulls'.
Thank you, LMR!
February 12, 2015
A single artificial neuron can represent some simple Boolean functions like OR, AND or NAND and some like XOR not, because a single artificial neuron can only learn linearly separable mappings.
Example. Perceptron for the AND function:
Highly recommanded not only for Processing users. Includes Neural Networks and Genetic Algorithms.
In these lectures, Prof. Patrick Winston introduces reasoning, search, constraints, learning, representations, architectures, and probabilistic inference.