Uses Single Layer Multi Class Perceptron to identify single digits
Multi-Class Perceptron(MCP) with 10 classes for digits from 0 to 9
Uses only an input and output layer to calculate the weights of each path in the network and return a prediction
No backpropogation to correct weights, simply readjusts the weight vectors as it forward propogates
mcp.py contains the implementation of the Multi-Class Perceptron
howtouseMCP.py contains steps to show how the MCP is used and runs the Network on the included test and train data