ReLU class

An activation function that applies the Rectified Linear Unit (ReLU) to a Vector.

ReLU is the most common activation function for hidden layers. It is defined as $f(x) = \max(0, x)$, outputting the input if it is positive and zero otherwise.

This version is designed to work on 1D Vector inputs.

Implemented types

• ActivationFunction

Constructors

ReLU()

Properties

hashCode → int

The hash code for this object.

no setter, inherited

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

Methods

call(Tensor input) → Tensor<Vector>

Applies the ReLU function element-wise to the input tensor.

override

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited