Classification of Handwritten Digits of MNIST Dataset in Python

By Siva Sankar U

The objective is to build a deep neural network in python which can classify the handwritten digits of MNIST dataset in python

          The packet contains a feedforward network or a multi-layer perceptron network that will recognize hand-written digits of MNIST dataset comprising of a training set of 60,000 examples and a test set of 10,000 examples.

The training examples are annotated by humans with the correct answer. For instance, if the handwritten digit is number three, then three is simply the label associated with that example.

Each MNIST image is in grayscale, and it consists of 28 x 28 pixels. The dataset can be downloaded from the link mentioned below.

Dataset - https://www.kaggle.com/sivasankaru/mnist-npy-file-dataset