def test_biases_is_correct_vector(self):
layer = Layer(size=5,
prev_size=2,
activation=activation_functions.Sigmoid)
biases = layer.biases()
self.assertTupleEqual(biases.shape, (5, ))
layer = Layer(size=2,
prev_size=3,
activation=activation_functions.Sigmoid)
biases = layer.biases()
self.assertTupleEqual(biases.shape, (2, ))
def test_biases_is_of_correct_type(self):
layer = Layer(size=5,
prev_size=2,
activation=activation_functions.Sigmoid)
biases = layer.biases()
self.assertIsInstance(biases, np.ndarray)
self.assertIn(biases.dtype, [np.float32, np.float64])
def test_with_single_hidden_layer(self):
layer = Layer(size=3,
prev_size=2,
activation=activation_functions.Sigmoid)
biases = [-2, 0.5, 9]
layer.set_biases(biases=np.array(biases, float))
self.assertEqual(layer.biases().tolist(), [-2, 0.5, 9])
def test_set_bias(self):
layer = Layer(size=3,
prev_size=2,
activation=activation_functions.Sigmoid)
layer.set_bias(row=0, new_value=2)
layer.set_bias(row=1, new_value=-0.5)
expected_b = np.array([2, -0.5, 0], float)
self.assertEqual(layer.biases().tolist(), expected_b.tolist())