本文整理汇总了Python中keras.activations方法的典型用法代码示例。如果您正苦于以下问题：Python keras.activations方法的具体用法？Python keras.activations怎么用？Python keras.activations使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类keras的用法示例。
在下文中一共展示了keras.activations方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_softmax
# 需要导入模块: import keras [as 别名]
# 或者: from keras import activations [as 别名]
def test_softmax():
from keras.activations import softmax as s
# Test using a reference implementation of softmax
def softmax(values):
m = max(values)
values = numpy.array(values)
e = numpy.exp(values - m)
dist = list(e / numpy.sum(e))
return dist
x = T.vector()
exp = s(x)
f = theano.function([x], exp)
test_values=get_standard_values()
result = f(test_values)
expected = softmax(test_values)
print(str(result))
print(str(expected))
list_assert_equal(result, expected) 示例2: test_relu
# 需要导入模块: import keras [as 别名]
# 或者: from keras import activations [as 别名]
def test_relu():
'''
Relu implementation doesn't depend on the value being
a theano variable. Testing ints, floats and theano tensors.
'''
from keras.activations import relu as r
assert r(5) == 5
assert r(-5) == 0
assert r(-0.1) == 0
assert r(0.1) == 0.1
x = T.vector()
exp = r(x)
f = theano.function([x], exp)
test_values = get_standard_values()
result = f(test_values)
list_assert_equal(result, test_values) # because no negatives in test values 示例3: test_tanh
# 需要导入模块: import keras [as 别名]
# 或者: from keras import activations [as 别名]
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) 示例4: test_linear
# 需要导入模块: import keras [as 别名]
# 或者: from keras import activations [as 别名]
def test_linear():
'''
This function does no input validation, it just returns the thing
that was passed in.
'''
from keras.activations import linear as l
xs = [1, 5, True, None, 'foo']
for x in xs:
assert x == l(x)