📕 subnode [[@KGBicheno/convolutional_filter]] in 📚 node [[convolutional_filter]]

convolutional filter

Go back to the [[AI Glossary]]

#image

One of the two actors in a convolutional operation. (The other actor is a slice of an input matrix.) A convolutional filter is a matrix having the same rank as the input matrix, but a smaller shape. For example, given a 28x28 input matrix, the filter could be any 2D matrix smaller than 28x28.

In photographic manipulation, all the cells in a convolutional filter are typically set to a constant pattern of ones and zeroes. In machine learning, convolutional filters are typically seeded with random numbers and then the network trains the ideal values.

📖 stoas
⥱ context