Face Recognition with Neural Networks Jack Breese Computer Systems Quarter 2, Pd. 7

What is a Neural Network? Interconnected neurons Weights Output

Uses of Neural Networks Pattern Recognition Face Recognition OCR

Neurons Add up each weighted input Use an activation function to determine output Pass on output to next layer

Training Neural Networks Large input set Outputs are verified, weights adjusted along a gradient based on these results.

Program Information Neural Network Library written in C Currently capable of initializing a two-layer perceptron with working, but unweighted connections. Can load images up to 500x500 pixels in size.

Data Structure typedef struct _connection { float weight; struct _neuron * from; } connection; typedef struct _neuron { //TODO: Implement a neuron which supports connections. float d; connection * cons; }neuron; neuron* mkneuron(int c) { neuron* n = malloc(sizeof(neuron)); n->d = 0; connection * a = malloc(c*sizeof(connection));; n->cons = a; return n; }

Next Quarter Implement the loading and saving of weight values Implement training, and then actually train the network