Optical Character Recognition via an Artificial Neural Network

Uses one hot encoding to translate a list of 10 arabic numeral images (0-9) and classify them into the cooresponding digit.

Forward propagation uses ReLU for each hidden layer activation function and Softmax for the output layer.

Files

We are only trying to classify individual numbers.

cmd/translate_dataset/main.go

Image Binarization: Takes the dataset and converts to only be black and white.

cmd/verify_dataset/main.go

Asserts that the images are formatted properly. All images must have the same resolution and only contain 2 colors.