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maxPooling1dLayer

1-D max pooling layer

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    Description

    A 1-D max pooling layer performs downsampling by dividing the input into 1-D pooling regions, then computing the maximum of each region.

    The dimension that the layer pools over depends on the layer input:

    • For time series and vector sequence input (data with three dimensions corresponding to the channels, observations, and time steps), the layer pools over the time dimension.

    • For 1-D image input (data with three dimensions corresponding to the spatial pixels, channels, and observations), the layer pools over the spatial dimension.

    • For 1-D image sequence input (data with four dimensions corresponding to the spatial pixels, channels, observations, and time steps), the layer pools over the spatial dimension.

    Creation

    Syntax

    layer = maxPooling1dLayer(poolSize)
    layer = maxPooling1dLayer(poolSize,Name=Value)

    Description

    layer= maxPooling1dLayer(poolSize)creates a 1-D max pooling layer and sets thePoolSizeproperty.

    example

    layer= maxPooling1dLayer(poolSize,Name=Value)还指定了填充或设置StrideandNameproperties using one or more optional name-value arguments. For example,maxPooling1dLayer(3,Padding=1,Stride=2)creates a 1-D max pooling layer with a pool size of3, a stride of2, and padding of size1on both the left and right of the input.

    Input Arguments

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    Name-Value Pair Arguments

    Specify optional pairs of arguments asName1=Value1,...,NameN=ValueN, whereNameis the argument name andValueis the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

    Example:maxPooling1dLayer(2,Padding=1)creates a 1-D max pooling layer with a pool size of 3 and padding of size 1 on the left and right of the layer input.

    Padding to apply to the input, specified as one of the following:

    • "same"— Apply padding such that the output size isceil(inputSize/stride), whereinputSizeis the length of the input. WhenStrideis1, the output is the same size as the input.

    • 非负整数sz— Add padding of sizeszto both ends of the input.

    • Vector[l r]of nonnegative integers — Add padding of sizelto the left andrto the right of the input.

    Example:Padding=[2 1]adds padding of size 2 to the left and size 1 to the right.

    Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64|char|string

    Properties

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    Max Pooling

    Width of the pooling regions, specified as a positive integer.

    The width of the pooling regionsPoolSizemust be greater than or equal to the padding dimensionsPaddingSize.

    Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64

    Step size for traversing the input, specified as a positive integer.

    Data Types:single|double|int8|int16|int32|int64|uint8|uint16|uint32|uint64

    Size of padding to apply to each side of the input, specified as a vector[l r]of two nonnegative integers, wherelis the padding applied to the left andris the padding applied to the right.

    When you create a layer, use thePaddingname-value argument to specify the padding size.

    Data Types:double

    This property is read-only.

    Method to determine padding size, specified as one of the following:

    • 'manual'– Pad using the integer or vector specified byPadding.

    • 'same'– Apply padding such that the output size isceil(inputSize/Stride), whereinputSizeis the length of the input. WhenStrideis1, the output is the same as the input.

    To specify the layer padding, use thePaddingname-value argument.

    Data Types:char

    Layer

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

    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 1-D max pooling layer with a pool size of 3.

    layer = maxPooling1dLayer(3);

    Include a 1-D max pooling layer in a layer array.

    layers = [ sequenceInputLayer(12) convolution1dLayer(11,96) reluLayer maxPooling1dLayer(3) convolution1dLayer(11,96) reluLayer globalMaxPooling1dLayer fullyConnectedLayer(10) softmaxLayer classificationLayer]
    layers = 10x1 Layer array with layers: 1 '' Sequence Input Sequence input with 12 dimensions 2 '' Convolution 96 11 convolutions with stride 1 and padding [0 0] 3 '' ReLU ReLU 4 '' 1-D Max Pooling Max pooling with pool size 3, stride 1, and padding [0 0] 5 '' Convolution 96 11 convolutions with stride 1 and padding [0 0] 6 '' ReLU ReLU 7 '' 1-D Global Max Pooling 1-D global max pooling 8 '' Fully Connected 10 fully connected layer 9 '' Softmax softmax 10 '' Classification Output crossentropyex

    Algorithms

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    See Also

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    Topics

    Introduced in R2021b

    Deep Learning Toolbox Documentation

    金宝app

    Introducing Deep Learning with MATLAB

    Introducing Deep Learning with MATLAB

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