def test_FANN_with_bias_feed_forward_single_sample():
fc = FullConnectionWithBias(3, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
for x, t in zip(X_nb, T):
t = np.atleast_2d(t)
assert_equal(nn.forward_pass(theta, x), t)
def test_FANN_with_bias_feed_forward_single_sample():
fc = FullConnectionWithBias(3, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
for x, t in zip(X_nb, T) :
t = np.atleast_2d(t)
assert_equal(nn.forward_pass(theta, x), t)
def test_FANN_with_bias_feed_forward_multisample():
fc = FullConnectionWithBias(3, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
assert_equal(nn.forward_pass(theta, X_nb), T)
def test_FANN_feed_forward_multisample():
fc = FullConnection(4, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
assert_equal(nn.forward_pass(theta, X), T)
def test_FANN_with_bias_feed_forward_multisample():
fc = FullConnectionWithBias(3, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
assert_equal(nn.forward_pass(theta, X_nb), T)
def test_FANN_feed_forward_multisample():
fc = FullConnection(4, 1)
sig = SigmoidLayer(1)
nn = FANN([fc, sig])
assert_equal(nn.forward_pass(theta, X), T)