tensorflow的激活函数

https://github.com/tensorflow/tensorflow/blob/r2.0/tensorflow/python/keras/activations.py

linear(x)

@keras_export('keras.activations.linear')
def linear(x):
  """Linear activation function.
  Arguments:
      x: Input tensor.
  Returns:
      The linear activation: `x`.
  """
  return x

sigmoid(x)

$$f(z)=\frac{1}{1+e^{-z}}.$$

@keras_export('keras.activations.sigmoid')
def sigmoid(x):
  """Sigmoid.
  Applies the sigmoid activation function. The sigmoid function is defined as
  1 divided by (1 + exp(-x)). It's curve is like an "S" and is like a smoothed
  version of the Heaviside (Unit Step Function) function. For small values
  (<-5) the sigmoid returns a value close to zero and for larger values (>5)
  the result of the function gets close to 1.
  Arguments:
      x: A tensor or variable.
  Returns:
      A tensor.
  Sigmoid activation function.
  Arguments:
      x: Input tensor.
  Returns:
      The sigmoid activation: `(1.0 / (1.0 + exp(-x)))`.
  """
  return nn.sigmoid(x)

最后

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