C Neural Network

Needs ncurses:

apt install libncurses5-dev

Use make run to compile and run.

Classifies elements in the MNIST handwritten digit database

Properties of this network:

• 28x28 inputs, 32 nodes in hidden layer, 10 output nodes
• Sigmoid activation for hidden layer
• Softmax activation for output layer
• Stochastic gradient descent for training
• Typically error rate of 7-8% for this database

Screen Views:

• No-output is fast
  • Doesn't update the screen, but...
  • Trains in ~2 seconds. BLAZINGLY fast
• Set-view shows the current image in the training set, and the network's output
  • "Probs" shows the network's output for the image
  • "Label" shows the image's correct corresponding digit, as given in the dataset
  • "GOOD" & "BAD" indicates if the highest probability output matches the label
• Field-view shows the receptive field for the output neurons

After training, the test set is loaded, and the error rate is calculated.