def testing(num): trainData = np.load("traindigitbasic.npy") trainLabels = samples.loadLabelsFile("data/digitdata/traininglabels", num) testData = np.load("testdigitbasic.npy") testLabels = samples.loadLabelsFile("data/digitdata/testlabels", 1000) validData = np.load("validationdigitbasic.npy") validLabels = samples.loadLabelsFile("data/digitdata/validationlabels", 1000) neural = NeuralNetworkClassifier(28 * 28, 50, 10, num, 3.5) neural.train(trainData[:, 0:num], trainLabels, 100) print "Test Data" guess = neural.classify(testData) samples.verify(neural, guess, testLabels) print "===================================" print "Validation Data" guess = neural.classify(validData) samples.verify(neural, guess, validLabels)
def testing(num): trainData = np.load("traindigitbasic.npy") trainLabels = samples.loadLabelsFile("data/digitdata/traininglabels", num) testData = np.load("testdigitbasic.npy") testLabels = samples.loadLabelsFile("data/digitdata/testlabels", 1000) validData = np.load("validationdigitbasic.npy") validLabels = samples.loadLabelsFile("data/digitdata/validationlabels", 1000) neural = NeuralNetworkClassifier(28 * 28, 50, 10, num, 3.5) neural.train(trainData[:, 0:num], trainLabels, 100) print "*************Test Data*************" guess = neural.classify(testData) samples.verify(neural, guess, testLabels) print "***********************************" print "************Valid Data*************" guess = neural.classify(validData) samples.verify(neural, guess, validLabels)
def testing(num): trainData = np.load("trainfacebasic.npy") trainLabels = samples.loadLabelsFile("data/facedata/facedatatrainlabels", num) testData = np.load("testfacebasic.npy") testLabels = samples.loadLabelsFile("data/facedata/facedatatestlabels", 151) validData = np.load("validationfacebasic.npy") validLabels = samples.loadLabelsFile("data/facedata/facedatavalidationlabels", 301) loop=True while loop: neural = NeuralNetworkClassifier(60 * 70, 500, 1, num, 0.03) neural.train(trainData[:,0:num], trainLabels, 100) print "Test Data" guess = neural.classify(testData) loop=samples.verify(neural, guess, testLabels) if loop: continue print "===================================" print "Validation Data" guess = neural.classify(validData) samples.verify(neural, guess, validLabels)
def testing(num): trainData = np.load("trainfaceadvanced.npy") trainLabels = samples.loadLabelsFile("data/facedata/facedatatrainlabels", num) testData = np.load("testfaceadvanced.npy") testLabels = samples.loadLabelsFile("data/facedata/facedatatestlabels", 151) validData = np.load("validationfaceadvanced.npy") validLabels = samples.loadLabelsFile("data/facedata/facedatavalidationlabels", 301) loop=True while loop: neural = NeuralNetworkClassifier(60 * (70+1), 500, 1, num, 0.03) neural.train(trainData[:,0:num], trainLabels, 100) print "Test Data" guess = neural.classify(testData) loop=samples.verify(neural, guess, testLabels) if loop: continue print "===================================" print "Validation Data" guess = neural.classify(validData) samples.verify(neural, guess, validLabels)