To perform convolution of a matrix in Python, we can use the convolve
function from the numpy
library. Here's an example:
main.py479 chars14 lines
In this example, we first define a 3x3 matrix matrix
and a 3x3 kernel kernel
to convolve with. We then create an output matrix output
with the same shape as matrix
.
We then perform convolution by looping over each position in output
and computing the dot product of the corresponding elements of matrix
and kernel
. We use zero padding and a stride of 1 to ensure that the output is the same size as the input.
The resulting output matrix is the result of the convolution operation. This same process can be extended to higher dimensions for convolutional neural networks.
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