Deep Learning Fundamentals - Premium Edition

Max Pooling in Deep Learning - Interactive Demo App

We have now learned that 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.

In this lesson, we'll use the interactive max pooling demo application to see the real-time effect that max pooling has have on sample images step-by-step.

Be sure to view the corresponding video on this page to see the demo app in action, and then go play with the app yourself!