MNIST Digit Recognizer with 99.72% Accuracy using Keras
Scoring done on Kaggle ( https://www.kaggle.com/mukultiwari )
The dataset used for the project is 'The MNIST database of handwritten digits' has a training set of 60,000 examples, and a test set of 10,000 examples.
Download Link
http://yann.lecun.com/exdb/mnist/
This project requires Python 2 with Numpy, Scipy, Keras, Tensorflow, Pandas, Matplotlib libraries installed.
To set up python on windows you can use Anaconda
https://medium.com/@GalarnykMichael/install-python-on-windows-anaconda-c63c7c3d1444
KERAS - https://keras.io/
ANACONDA - https://conda.io/docs/index.html
JUPYTER NOTEBOOK - http://jupyter.org/