📕 subnode [[@KGBicheno/convolutional_filter]]
in 📚 node [[convolutional_filter]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Convolutional_Filter.md by @KGBicheno
convolutional filter
Go back to the [[AI Glossary]]
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
- public document at doc.anagora.org/convolutional_filter
- video call at meet.jit.si/convolutional_filter