HSwishLayer.md

CHSwishLayer Class

• CHSwishLayer Class
  • Settings
  • Trainable parameters
  • Inputs
  • Outputs

This class implements a layer that calculates the h-swish activation function for each element of a single input.

The activation function formula:

f(x) = x * ReLU6( x + 3 ) / 6

Settings

There are no settings for this layer.

Trainable parameters

There are no trainable parameters for this layer.

Inputs

There is only one input, which accepts a data blob of arbitrary size.

Outputs

There is only one output, which returns a blob of the same size as the input blob. Each element of the output contains the value of the activation function calculated on the corresponding element of the input.