number networks and generator
Backprop does not have to run for at least 10 rounds if error is instantly very low
update report
distr_test.py moved to generate_number_network.py
Added possibility to stop in first round if error is low enough
moved output_test.py to generate_output_number_network.py
smaller number of training rounds per cyclic pattern improve training because error is no adequate representation of running
moved output_test.py to generate_output_number_network.py
a folder with stored networks
Resolved a bug in network update
added more printing functions
added a function to add noise to training examples, resolved multiple problems that caused more problems. Currently the training seems to work to store patterns in a distributed network. BackProp to link this to an output network is not yet fixed.
moved all stored network to Networks folder
more efficient implementation of several functions