A neural network implemented in Python to classify handwritten numerical digits from MNIST data
To run the network, first clone this repo and ensure that numpy and pandas are installed on your machine. Then simply start an iPython session, import the
nn module, and call
fit() on an instantiated network:
import nn clf = nn.NeuralNetwork() clf.fit()
This will automatically use the MNIST dataset and report the results of evaluation on a test using default parameters.