Pooling Layer in Convolutional Neural Network - Deep Learning with PyTorch 13

in pytorch •  last year 

In this video we'll talk about the pooling layer for a Convolutional Neural Network.

The pooling layer generally comes after the Convolutional Layer.

We can have one pooling layer, or many, depending on what we're trying to do.

The pooling layer takes the outputs from the convolutional layer and reduces them down. Think of them as summarizing the convolutional layer to save computing power.

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