Software for recognizing handwritten digits.
The software will accept as input an image of a digit between 0 and 9 and return as output the digit that was identified. This will be done by building a model of a neural network. In order to implement the model itself, useful classes were implemented such as Matrix, network layer and activation function.
The network will reach an accuracy of 96 percent in identification digits.