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)
