def test_neural_net(self):
print "Testing neural net.."
print
#getting data using 80% of data as training.
#If you want to test soething other than 3 vs 5, just change the input to loadmnist.
#For example, loadmnist(1, 7)
data = loadmnist(3, 5)
train_data = data[:int(len(data)*0.8)]
validation_data =data[int(len(data)*0.8):]
#train the model
m = neural_net(train_data)
#evaluate
predictions = [m.predict(p) for p in train_data]
print "Training Accuracy:", accuracy(train_data, predictions)
predictions = [m.predict(p) for p in validation_data]
print "Validation Accuracy:", accuracy(validation_data, predictions)
def test_neural_net(self):
print "Testing neural net.."
print
#getting data using 80% of data as training.
#If you want to test soething other than 3 vs 5, just change the input to loadmnist.
#For example, loadmnist(1, 7)
data = loadmnist(3, 5)
train_data = data[:int(len(data)*0.8)]
validation_data =data[int(len(data)*0.8):]
#train the model
m = neural_net(train_data)
#evaluate
predictions = [m.predict(p) for p in train_data]
print "Training Accuracy:", accuracy(train_data, predictions)
predictions = [m.predict(p) for p in validation_data]
print "Validation Accuracy:", accuracy(validation_data, predictions)