Tanh¶

class paddle.nn. Tanh ( name=None ) [source]

Tanh Activation.

$$Tanh(x) = \frac{e^{x} - e^{-x}}{e^{x} + e^{-x}}$$

Parameters

name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:

• input: Tensor with any shape.

• output: Tensor with the same shape as input.

Examples

import paddle
import numpy as np

x = paddle.to_tensor(np.array([-0.4, -0.2, 0.1, 0.3]))
m = paddle.nn.Tanh()
out = m(x)
print(out)
# [-0.37994896 -0.19737532  0.09966799  0.29131261]

forward ( x )

forward¶

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

• *inputs (tuple) – unpacked tuple arguments

• **kwargs (dict) – unpacked dict arguments

extra_repr ( )

extra_repr¶

Extra representation of this layer, you can have custom implementation of your own layer.