IMPLEMENTED A FULLY-CONNECTED TWO-LAYER AUTO-ENCODER NEURAL NETWORK.
Implemented a fully-connected two-layer auto-encoder neural network and trained it using mnist dataset by varying the number of nodes in the hidden layer to accomplish the task of calculating and plotting Mean Squared Error (MSE), Principle Component Analysis (PCA) and Eigen Vectors.