Artificial Neural Networks
Design of an ANN that is capable of classifying hand written digits from the MNIST10 dataset. Pytorch and Torchvision were used for this model. This includes all of the different activation functions, loss functions and the built-in gradient descent and backpropagation functionality. The main goal of this assignment is to get you to design a neural network that can successfully (to some degree of accuracy) classify handwritten digits. Your ANN was implemented in a file called Classifier.py and should be invoked as follows: python Classifier.py When a user executes this code, it builds the network, define any necessary functions, preprocess data , train the network and, once training has completed, allow a user to enter a path to an image from the MNIST10 dataset