class UnitTests(unittest.TestCase):
def setUp(self):
self.net = NeuralNetwork(
[],
[],
0,
)
def test_softmax_is_correct(self):
expected = [0.501, 0.499]
input = [0.461, 0.455]
output = self.net.softmax(input)
self.assertEqual(output, expected)
def test_activate_is_correct(self):
expecteds = [0.12, 0.18, 0.27, 0.38, 0.50, 0.62, 0.73, 0.82, 0.88]
inputs = [-2, -1.5, -1, -0.5, 0, 0.5, 1, 1.5, 2]
for i in range(0, len(expecteds)):
output = numpy.around(self.net.activate(inputs[i]), 2)
self.assertEqual(output, expecteds[i])
