Max Pooling in Neural Networks Explained
text
Max Pooling in Neural Networks Explained
In this lesson, we'll explore the use of a technique called max pooling in convolutional neural networks and how it affects image data.
Max pooling is an operation that is typically added to CNNs following individual convolutional layers to reduce the height and width dimensions of image data output from the previous convolutional layer.
quiz
resources
updates
Committed by on