Application to classify a handwritten digits using neural networks.By using libraries like keras and tensorflow and MNIST dataset to train and test our NN.
The MNIST database of handwritten digits, has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image.
You can find the link Here
Code copyrights to Denis Zubo, You check his blog post about this appliction in the link Tutorial on Using Keras for digits recognition
Thank you for sharing that!