from nn import NeuralNet from node import Node nn=NeuralNet() nn.importFile("sample.NNGrades.init") nn.printFile("sup.txt")
from nn import NeuralNet from node import Node nn=NeuralNet() print "Enter trained Neural Net filename" infile=raw_input() print "Enter test filename" testfile = raw_input() print "Enter output filename" results = raw_input() nn.importFile(infile) nn.test(testfile,results);
from nn import NeuralNet from node import Node nn = NeuralNet() nn.importFile("sample.NNGrades.init") nn.printFile("sup.txt")
from nn import NeuralNet from node import Node nn=NeuralNet() print "Enter Neural Net filename" infile=raw_input() print "Enter training filename" trainfile = raw_input() print "Enter learning rate" lrate = raw_input() print "Enter # of Epochs" ep = raw_input() print "Enter output filename" outfile = raw_input() nn.importFile(infile) nn.train(trainfile,float(lrate), int(ep)); nn.printFile(outfile)