Our last Learning Machines assignment is to calibrate the hyperparameters for a Multilayer Perceptron. Patrick gave us a working model using the MNIST database of handwritten digits. The model uses a Restricted Boltzmann Machine to reduce the dimensionality of the data and then a Multilayer Perceptron to classify the digits.
I was able to achieve an out-of-sample accuracy of almost 96%. This is in line with the results of other researchers.