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![Lesson thumbnail for Max Pooling in Neural Networks Explained](/assets/jpg/1bffb1d4.jpg)
Deep Learning Course - Level: Beginner
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.
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