sigmoid

Apply sigmoid activation

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Syntax

dlY = sigmoid(dlX)

Description

The sigmoid activation operation applies the sigmoid function to the input data.

This operation is equivalent to

f(x)=11+e−x

example

dlY = sigmoid(dlX) computes the sigmoid activation of the input dlX by applying the sigmoid transfer function. All values in dlY are between 0 and 1.

Examples

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Use the sigmoid function to set all values in the input data to a value between 0 and 1.

Create the input data as a single observation of random values with a height and width of seven and 32 channels. 

height = 7;
width = 7;
channels = 32;
observations = 1;

X = randn(height,width,channels,observations);
dlX = dlarray(X,'SSCB');

Compute the sigmoid activation.

dlY = sigmoid(dlX);

All values in dlY now range between 0 and 1.

Input Arguments

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Input data, specified as a dlarray with or without dimension labels.

Data Types: single | double

Output Arguments

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Sigmoid activations, returned as a dlarray. All values in dlY are between 0 and 1. The output dlY has the same underlying data type as the input dlX.

If the input data dlX is a formatted dlarray, dlY has the same dimension labels as dlX. If the input data is not a formatted dlarray, dlY is an unformatted dlarray with the same dimension order as the input data.

Extended Capabilities

See Also

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Topics

Introduced in R2019b

Deep Learning Toolbox Documentation
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