activation.rst

API - Activations

To make TensorLayer simple, we minimize the number of activation functions as much as we can. So we encourage you to use TensorFlow's function. TensorFlow provides tf.nn.relu, tf.nn.relu6, tf.nn.elu, tf.nn.softplus, tf.nn.softsign and so on. More TensorFlow official activation functions can be found here. For parametric activation, please read the layer APIs.

The shortcut of tensorlayer.activation is tensorlayer.act.

Your activation

Customizes activation function in TensorLayer is very easy. The following example implements an activation that multiplies its input by 2. For more complex activation, TensorFlow API will be required.

def double_activation(x):
    return x * 2

tensorlayer.activation

identity ramp leaky_relu pixel_wise_softmax

Identity

identity

Ramp

ramp

Leaky Relu

leaky_relu

Pixel-wise Softmax

pixel_wise_softmax

Parametric activation

See tensorlayer.layers.