Skip to content

Latest commit

 

History

History
17 lines (11 loc) · 521 Bytes

README.rst

File metadata and controls

17 lines (11 loc) · 521 Bytes

ANN

Basics

This is a package for running and experimenting with Artificial Neural Networks.

To create a neural network, simply do:

>>> import ANN
>>> nn1 = ANN.FNN(total_number_of_layers, input, target)

This will generate an instance of a neural network with total_number_of_layers. To train the NN to classify:

>>> output, error = nn1.train(number_of_iterations)

This runs the neural network for number_of_iterations and the error vector and the last output is given as the output.