def test_FANN_converges_on_xor_problem():
fc0 = FullConnectionWithBias(2, 2)
fc1 = FullConnectionWithBias(2, 1)
sig0 = SigmoidLayer(2)
sig1 = SigmoidLayer(1)
nn = FANN([fc0, sig0, fc1, sig1])
xor = load_xor()
theta = np.random.randn(nn.get_param_dim())
for i in range(2000):
g = nn.calculate_gradient(theta, xor.data, xor.target)
theta -= g * 1
error = nn.calculate_error(theta, xor.data, xor.target)
assert_less(error, 0.4)
def test_FANN_converges_on_xor_problem():
fc0 = FullConnectionWithBias(2, 2)
fc1 = FullConnectionWithBias(2, 1)
sig0 = SigmoidLayer(2)
sig1 = SigmoidLayer(1)
nn = FANN([fc0, sig0, fc1, sig1])
xor = load_xor()
theta = np.random.randn(nn.get_param_dim())
for i in range(2000):
g = nn.calculate_gradient(theta, xor.data, xor.target)
theta -= g * 1
error = nn.calculate_error(theta, xor.data, xor.target)
assert_less(error, 0.4)
def test_load_xor_wellformed() :
xor_problem = load_xor()
assert_dataset_wellformed(xor_problem)
