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sigmoidLayer

Sigmoid layer

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Description

A sigmoid layer applies a sigmoid function to the input such that the output is bounded in the interval (0,1).

Tip

To use the sigmoid layer for binary or multilabel classification problems, create a custom binary cross-entropy loss output layer or use a custom training loop.

Creation

Syntax

layer = sigmoidLayer
layer = sigmoidLayer('Name',Name)

Description

layer= sigmoidLayercreates a sigmoid layer.

example

layer= sigmoidLayer('Name',Name)creates a sigmoid layer and sets the optionalNameproperty using a name-value pair argument. For example,sigmoidLayer('Name','sig1')creates a sigmoid layer with the name'sig1'. Enclose the property name in single quotes.

Properties

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Layer name, specified as a character vector or a string scalar. ForLayerarray input, thetrainNetwork,assembleNetwork,layerGraph, anddlnetworkfunctions automatically assign names to layers with name''.

Data Types:char|string

This property is read-only.

Number of inputs of the layer. This layer accepts a single input only.

Data Types:double

This property is read-only.

Input names of the layer. This layer accepts a single input only.

Data Types:cell

This property is read-only.

Number of outputs of the layer. This layer has a single output only.

Data Types:double

This property is read-only.

Output names of the layer. This layer has a single output only.

Data Types:cell

Examples

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Open Live Script

Create a sigmoid layer with the name'sig1'.

layer = sigmoidLayer('Name','sig1')
层= SigmoidLayer属性:名称:“sig1”Learnable Parameters No properties. State Parameters No properties. Show all properties

More About

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Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Version History

Introduced in R2020b

See Also

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