Here's a psuedocode rundown of exactly what it does: network = new NeuralNetwork() targetOutput = readFile('./images/zebra-500x500-corrupted.jpg') inp

Here's a psuedocode rundown of exactly what it does: network = new NeuralNetwork() targetOutput = readFile('./images/zebra-500x500-corrupted.jpg') input = generateNoise(500, 500) while(iterationCount < overfitThreshold) { networkOutput = network.getOutput(input) loss = getLoss(targetOutput, networkOutput) network.backPropogate(loss) iterationCount++ } writeFile('./images/zebra-500x500-denoised.jpg', networkOutput)