Max Pooling Operation in Neural Networks
In deep learning, max pooling is a type of operation that is typically added to convolutional neural networks following individual convolutional layers. When added to a network, max pooling reduces the size of images by reducing the number of pixels in the output from the previous convolutional layer.
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Demo Tips
Here are some helpful tips to consider when using the app:
- Hover over the pixel values in the output to see the corresponding window in the input.
- Try different values for the filter parameters to see how filter size and stride affect the output.
- The application works on mobile but performs best on desktop. We tested on a limited number of mobile devices. Let us know if you run into issues on your device.
Max Pooling Demo
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