Activations

enum Activations : Enum<Activations>

Neural network hyperparameter, activation function of a node defines the output of that node given an input or set of inputs.

Entries

Swish

Swish()

Swish activation function.

HardSigmoid

HardSigmoid()

Hard sigmoid activation function.

SoftSign

SoftSign()

Softsign activation function.

SoftPlus

SoftPlus()

Softplus activation function.

Exponential

Exponential()

Exponential activation function.

LogSoftmax

LogSoftmax()

Softmax

Softmax()

Softmax converts a real vector to a vector of categorical probabilities.

Selu

Selu()

Scaled Exponential Linear Unit (SELU).

Elu

Elu()

Exponential Linear Unit.

Relu6

Relu6()

Computes Rectified Linear 6:

min(max(features, 0), 6)

Calls Relu6Activation under the hood.

Relu

Relu()

Rectified linear unit (ReLU).

Tanh

Tanh()

Hyperbolic tangent activation function.

Sigmoid

Sigmoid()

Sigmoid activation function.

Linear

Linear()

Linear unit.

Types

Companion

object Companion

Properties

name

val name: String

ordinal

val ordinal: Int