Kaggle-DigitRecognizer

A kaggle problem where we have to recognise handwritten digits using Deep learning.

The goal is to take an image of a handwritten single digit, and determine what that digit is. For every ImageId in the test set, we should predict the correct label.

Data can be found from the link:

https://www.kaggle.com/c/digit-recognizer/data

Models Used are:

1. Feed Forward Network ::: Accuracy - 97.1%
2. Convolutional Neural Network ::: Accuracy - 98.4%

The aim of the Notebook is to show the feasibility of CNNs for Image related tasks. The deeper the Cnn, better is the accuracy. In the notebook, we have trained to notebook for very less number of epochs. Still we are getting ~98% accuracy on our validation set. If we train them for more say 30, we can achieve an accuracy of 100%