averagePooling3dLayer

3-D average pooling layer

Description

A 3-D average pooling layer performs downsampling by dividing three-dimensional input into cuboidal pooling regions, then computing the average values of each region.

Creation

Description

layer = averagePooling3dLayer(poolSize) creates an average pooling layer and sets the PoolSize property.

example

layer = averagePooling3dLayer(poolSize,Name,Value) sets the optional Stride and Name properties using name-value pairs. To specify input padding, use the 'Padding' name-value pair argument. For example, averagePooling3dLayer(2,'Stride',2) creates a 3-D average pooling layer with pool size [2 2 2] and stride [2 2 2]. You can specify multiple name-value pairs. Enclose each property name in single quotes.

Input Arguments

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Name-Value Pair Arguments

Use comma-separated name-value pair arguments to specify the size of the zero padding to add along the edges of the layer input or to set the Stride and Name properties. Enclose names in single quotes.

Example: averagePooling3dLayer(2,'Stride',2) creates a 3-D average pooling layer with pool size [2 2 2] and stride [2 2 2].

Input edge padding, specified as the comma-separated pair consisting of 'Padding' and one of these values:

• Nonnegative integer p — Add padding of size p to all the edges of the input.

• Three-element vector [a b c] of nonnegative integers — Add padding of size a to the top and bottom, padding of size b to the left and right, and padding of size c to the front and back of the input.

• 2-by-3 matrix [t l f;b r k] of nonnegative integers — Add padding of size t to the top, b to the bottom, l to the left, r to the right, f to the front, and k to the back of the input. In other words, the top row specifies the prepadding and the second row defines the postpadding in the three dimensions.

Example: 'Padding',1 adds one row of padding to the top and bottom, one column of padding to the left and right, and one plane of padding to the front and back of the input.

Example: 'Padding','same' adds padding so that the output has the same size as the input (if the stride equals 1).

Properties

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Average Pooling

Dimensions of the pooling regions, specified as a vector of three positive integers [h w d], where h is the height, w is the width, and d is the depth. When creating the layer, you can specify PoolSize as a scalar to use the same value for all three dimensions.

If the stride dimensions Stride are less than the respective pooling dimensions, then the pooling regions overlap.

The padding dimensions PaddingSize must be less than the pooling region dimensions PoolSize.

Example: [2 1 1] specifies pooling regions of height 2, width 1, and depth 1.

Step size for traversing the input in three dimensions, specified as a vector [a b c] of three positive integers, where a is the vertical step size, b is the horizontal step size, and c is the step size along the depth direction. When creating the layer, you can specify Stride as a scalar to use the same value for step sizes in all three directions.

If the stride dimensions Stride are less than the respective pooling dimensions, then the pooling regions overlap.

The padding dimensions PaddingSize must be less than the pooling region dimensions PoolSize.

Example: [2 3 1] specifies a vertical step size of 2, a horizontal step size of 3, and a step size along the depth of 1.

Size of padding to apply to input borders, specified as 2-by-3 matrix [t l f;b r k] of nonnegative integers, where t and b are the padding applied to the top and bottom in the vertical direction, l and r are the padding applied to the left and right in the horizontal direction, and f and k are the padding applied to the front and back along the depth. In other words, the top row specifies the prepadding and the second row defines the postpadding in the three dimensions.

When you create a layer, use the 'Padding' name-value pair argument to specify the padding size.

Example: [1 2 4;1 2 4] adds one row of padding to the top and bottom, two columns of padding to the left and right, and four planes of padding to the front and back of the input.

Method to determine padding size, specified as 'manual' or 'same'.

The software automatically sets the value of PaddingMode based on the 'Padding' value you specify when creating a layer.

• If you set the 'Padding' option to a scalar or a vector of nonnegative integers, then the software automatically sets PaddingMode to 'manual'.

Value used to pad input, specified as 0 or "mean".

When you use the Padding option to add padding to the input, the value of the padding applied can be one of the following:

• 0 — Input is padded with zeros at the positions specified by the Padding property. The padded areas are included in the calculation of the average value of the pooling regions along the edges.

• "mean" — Input is padded with the mean of the pooling region at the positions specified by the Padding option. The padded areas are effectively excluded from the calculation of the average value of each pooling region.

Layer

Layer name, specified as a character vector or a string scalar. For Layer array input, the trainNetwork, assembleNetwork, layerGraph, and dlnetwork functions automatically assign names to layers with Name set to ''.

Data Types: char | string

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

Data Types: double

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

Data Types: cell

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

Data Types: double

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

Data Types: cell

Examples

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Create a 3-D average pooling layer with nonoverlapping pooling regions that downsamples by a factor of 2.

layer = averagePooling3dLayer(2,'Stride',2)
layer =
AveragePooling3DLayer with properties:

Name: ''

Hyperparameters
PoolSize: [2 2 2]
Stride: [2 2 2]

Include a 3-D average pooling layer in a Layer array.

layers = [ ...
image3dInputLayer([28 28 28 3])
convolution3dLayer(5,20)
reluLayer
averagePooling3dLayer(2,'Stride',2)
fullyConnectedLayer(10)
softmaxLayer
classificationLayer]
layers =
7x1 Layer array with layers:

1   ''   3-D Image Input         28x28x28x3 images with 'zerocenter' normalization
2   ''   Convolution             20 5x5x5 convolutions with stride [1  1  1] and padding [0  0  0; 0  0  0]
3   ''   ReLU                    ReLU
4   ''   Average 3D Pooling      2x2x2 average pooling with stride [2  2  2] and padding [0  0  0; 0  0  0]
5   ''   Fully Connected         10 fully connected layer
6   ''   Softmax                 softmax
7   ''   Classification Output   crossentropyex

Create a 3-D average pooling layer with overlapping pooling regions and padding for the top and bottom of the input.

layer = averagePooling3dLayer([3 2 2],'Stride',2,'Padding',[1 0 0])
layer =
AveragePooling3DLayer with properties:

Name: ''

Hyperparameters
PoolSize: [3 2 2]
Stride: [2 2 2]