Convolution

1980년 도입 · 논문 19,588편에서 사용

A convolution is a type of matrix operation, consisting of a kernel, a small matrix of weights, that slides over input data performing element-wise multiplication with the part of the input it is on, then summing the results into an output. Intuitively, a convolution allows for weight sharing - reducing the number of effective parameters - and image translation (allowing for the same feature to be detected in different parts of the input space). Image Source: https://arxiv.org/pdf/1603.07285.pdf