<p>A max-pooling layer doesn't have any trainable weights. It has only hyperparameters, but they are non-trainable. The max-pooling process calculates the maximum value of the filter, which consists of no weights and biases. It is purely a way to downscale the data to a smaller dimension.</p>

CC BY-SA 4.0
2019-10-28T10:13:21.247Z
2021-12-31T18:23:34.477Z
2021-12-31T18:23:34.477Z
Clement
<p>How many weights does the max-pooling layer have?</p>
<p>For example, if there are 10 inputs, a pooling filter of size 2, stride 2, how many weights, including bias, does a max-pooling layer have?</p>

<convolutional-neural-networks><hyper-parameters><filters><pooling><max-pooling>
How many weights does the max-pooling layer have?
Tibby
# How many weights does the max-pooling layer have?

(Asked by: username_0 on 2019-10-27)

How many weights does the max-pooling layer have?

For example, if there are 10 inputs, a pooling filter of size 2, stride 2, how many weights, including bias, does a max-pooling layer have?

**Tags:** convolutional-neural-networks, hyper-parameters, filters, pooling, max-pooling


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## 1 answers

### Answer by username_1 on 2019-10-28. Score: 2 | Accepted answer

A max-pooling layer doesn't have any trainable weights. It has only hyperparameters, but they are non-trainable. The max-pooling process calculates the maximum value of the filter, which consists of no weights and biases. It is purely a way to downscale the data to a smaller dimension.


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