10 examples of 'relu activation function python' in Python

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def activation(self, z):
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    return z

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def activation_leaky_relu(alpha):
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     with tf.variable_scope("leaky_relu"):
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        def op(inputs):
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            return tf.maximum(alpha * inputs, inputs, name='leaky_relu')
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        return op

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@staticmethod
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def relu(input_matrix):
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    output = np.maximum(input_matrix, 0, input_matrix)
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    return output

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@layer
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def lrelu(self, input, leaky_value, name):
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    return lrelu(input, leaky_value, name=name)

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def _activation():
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    return Activation("relu")

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def ReLu(x):
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    return theano.tensor.switch(x<0, 0, x)

15
def f(z):
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    return z

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def activation(self, input_signal):
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    """
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    Linear activation applied to input provided
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    Args:
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        input_signal (numpy.array): the input numpy array
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    Returns:
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        numpy.array: the output of the Linear function applied to the input
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    """
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    return input_signal

16
def linear_activation(x):
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    return x

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def lrelu(x, alpha=0.2):
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  return T.nnet.relu(x, alpha)