Class

MPSCNNNeuronPReLU

A parametric ReLU (Rectified Linear Unit) neuron filter.

Declaration

class MPSCNNNeuronPReLU : MPSCNNNeuron

Overview

For each pixel in an image, the filter applies the following function:

f(x_i) = x_i, if x_i >= 0 | a_i * x_i if x_i < 0

Where i in [0 ... channels - 1]. That is, parameters a are learned and applied to each channel separately. Compare this to MPSCNNNeuronReLU where parameter a is shared across all channels.

Relationships

Inherits From

Conforms To

See Also

Neuron Layers

class MPSCNNNeuronAbsolute

An absolute neuron filter.

class MPSCNNNeuronELU

A parametric ELU neuron filter.

class MPSCNNNeuronHardSigmoid

A hard sigmoid neuron filter.

class MPSCNNNeuronLinear

A linear neuron filter.

class MPSCNNNeuronReLUN

A ReLUN neuron filter.

class MPSCNNNeuronReLU

A ReLU (Rectified Linear Unit) neuron filter.

class MPSCNNNeuronSigmoid

A sigmoid neuron filter.

class MPSCNNNeuronSoftPlus

A parametric softplus neuron filter.

class MPSCNNNeuronSoftSign

A softsign neuron filter.

class MPSCNNNeuronTanH

A hyperbolic tangent neuron filter.

class MPSCNNNeuron

A filter that applies a neuron activation function.

class MPSCNNNeuronExponential

An exponential neuron filter.

class MPSCNNNeuronGradient

A gradient neuron filter.

class MPSCNNNeuronLogarithm

A logarithm neuron filter.

class MPSCNNNeuronPower

A power neuron filter.

class MPSNNNeuronDescriptor

An object that specifies properties used by a neuron kernel.