This class implements a layer that calculates a linear activation function for each element of a single input.
The activation function is calculated according to the formula:
f(x) = GetMultiplier() * x + GetFreeTerm()
void SetMultiplier( float multiplier );
Sets the multiplier value.
void SetFreeTerm( float freeTerm );
Sets the free term value.
There are no trainable parameters for this layer.
There is only one input, which accepts a data blob of arbitrary size.
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.