def test_tanh(self):
from keras.activations import tanh as t
test_values = get_standard_values()
x = K.placeholder(ndim=2)
exp = t(x)
f = K.function([x], [exp])
result = f([test_values])[0]
expected = np.tanh(test_values)
assert_allclose(result, expected, rtol=1e-05)
def test_tanh(self):
from keras.activations import tanh as t
test_values = get_standard_values()
x = K.placeholder(ndim=2)
exp = t(x)
f = K.function([x], [exp])
result = f([test_values])[0]
expected = np.tanh(test_values)
assert_allclose(result, expected, rtol=1e-05)
def test_tanh():
from keras.activations import tanh as t
test_values = get_standard_values()
x = T.vector()
exp = t(x)
f = theano.function([x], exp)
result = f(test_values)
expected = [math.tanh(v) for v in test_values]
print(result)
print(expected)
list_assert_equal(result, expected)
def test_tanh():
from keras.activations import tanh as t
test_values = get_standard_values()
x = T.vector()
exp = t(x)
f = theano.function([x], exp)
result = f(test_values)
expected = [math.tanh(v) for v in test_values]
print(result)
print(expected)
list_assert_equal(result, expected)