Class BatchNormalization

Represents an BatchNormalization normalization layer. This computes the mean variance on the second dimension of the input tensor and normalizes it according to scale and bias tensors.

Inheritance

object

Layer

BatchNormalization

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis.Layers

Assembly: solution.dll

Syntax

[Serializable]
public class BatchNormalization : Layer

Constructors

Name	Description
BatchNormalization(string, string, string, string, string, string, float)	Initializes and returns an instance of BatchNormalization normalization layer.

Fields

Name	Description
epsilon	The epsilon value the layer uses to avoid division by zero.

Methods

Name	Description
Execute(Tensor[], ExecutionContext)	Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor. If the layer has more than one output, output tensors are saved to variables.
ToString()	Returns a string that represents the Layer.