mxnet.ndarray.Activation¶
-
mxnet.ndarray.Activation(data=None, act_type=_Null, out=None, name=None, **kwargs)¶ Applies an activation function element-wise to the input.
The following activation functions are supported:
relu: Rectified Linear Unit, \(y = max(x, 0)\)
sigmoid: \(y = \frac{1}{1 + exp(-x)}\)
tanh: Hyperbolic tangent, \(y = \frac{exp(x) - exp(-x)}{exp(x) + exp(-x)}\)
softrelu: Soft ReLU, or SoftPlus, \(y = log(1 + exp(x))\)
softsign: \(y = \frac{x}{1 + abs(x)}\)
Defined in src/operator/nn/activation.cc:L166
- Parameters
- Returns
out – The output of this function.
- Return type
NDArray or list of NDArrays