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Average Pool Output Calculator

Calculate the output feature map size after an average pooling operation.

About Average Pool Output Calculator

Average pooling computes the mean value within each pooling window, providing smoother downsampling than max pooling. The output size formula is identical to max pooling: floor((input + 2×padding − pool_size) / stride) + 1.

Formula

Avg Pool Output

output = floor((input + 2*padding - pool_size) / stride) + 1

pool_size
Size of the averaging window

Worked example

With the default values below, Average Pool Output Calculator returns Output Size of 16. Change any input above and every figure here is recalculated in your browser.

Inputs used

Input Size (H or W)minimum 1
32
Pool Sizeminimum 1
2
Strideminimum 1
2
Paddingminimum 0
0

Results

Output Size
16

Step by step

  1. 1Output = floor((input + 2×pad − pool) / stride) + 1= 16

Assumptions and limits

  • The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
  • In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
  • Figures are rounded for display to whole numbers, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.

How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.

Frequently Asked Questions

When is average pooling preferred?

Average pooling is preferred for global aggregation (Global Average Pooling before classifiers), in tasks where all feature values contribute (not just peaks), and in some GAN architectures.

What is Global Average Pooling?

GAP uses pool_size equal to the spatial dimension, collapsing each channel to a single number. It replaces fully connected layers at the end of CNNs, reducing overfitting.

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Average Pool Output Calculator – Calculate Output Size