A Mock IEEE Paper for the ‘Brain Computer Interfaces’ course, which covered machine learning. I Designed a simple neural network with TensorFlow, performed various tests to find acceptable hyperparameters using W&B. Then trained identical networks in CIFAR-10 using different color spaces to determine whether “perceptual” or “traditional” color spaces performed better. Due to various factors, results were inconclusive, leaving the door open for further study.
