def test(num_tests):
global training_inputs, temp_training_outputs, test_inputs, test_outputs
correct = 0
incorrect = 0
# Test NN amount of times user specifies with num_tests
for i in range(num_tests):
# Get random test data
r = randint(0, 59999)
# Get test data in correct format
new_test_input = np.array([[0.0 for x in range(784)]])
temp = test_inputs[:, r]
for j in range(784):
new_test_input[0][j] = temp[j]
new_test_input = new_test_input.T
# Get NN's guess for input
nnGuess = NeuralNetwork.think(NumberNet, test_input=new_test_input)
# Log test results
if test_outputs[r] == nnGuess:
correct += 1
else:
incorrect += 1
# Print test results
print("Correct: " + str(correct))
print("Incorrect: " + str(incorrect))
def testWithInput(input_from_user):
nnGuess = NeuralNetwork.think(NumberNet, test_input=input_from_user)
print("My guess is... " + str(nnGuess))