From scratch implementation of RNNs, training and testing on MNIST digits data

A Convolutional Neural Network is implemented using Torch and trained and tested on MNIST digits dataset (http://yann.lecun.com/exdb/mnist/). It gives an accuracy of 80.67% on preprocessed MNIST data.

Tools and technologies used: Python, Torch, Numpy