Zero Padding in Neural Networks Explained
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Zero Padding in Neural Networks Explained
In this lesson, we'll learn about the use of zero padding in convolutional neural networks and how it affects image data.
As we now know, each convolutional layer in a CNN has some defined number of filters that convolve the image input. The output from these convolution operations results in a matrix of pixel values with reduced dimensions from the original image input.
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