def test_single_layer_network(self):
network = Network()
network.add_layer(Normalize())
indata = np.array([2, 7, 3])
outdata = network.compute(indata)
self.assertTrue(np.allclose(outdata, [-0.4, 0.6, -0.2]))
def test_multi_layer_network(self):
network = Network()
network.add_layer(Convolve([[0.1, 0], [0, 0.1]], keepdims=False))
network.add_layer(Relu())
network.add_layer(Flatten())
network.add_layer(Softmax())
indata = np.array([[5, 2, 7, 10], [1, 8, 3, 4]])
outdata = network.compute(indata)
self.assertTrue(np.allclose(outdata, [0.440905, 0.19811, 0.36098]))