This repository presents an implementation of a fully connected Neural Network used for the recognition of handwritten digit.
The neural network consists of :
- An average pooling layer
- A first dense layer of 32 neurons
- An output layer of 10 neurons
The input vector consists of the flatten 28 by 28 image (ie a 784 elements vector).
The output of the neural network is the handwritten digit.