Difference between "kernel" and "filter" in CNN
Dec 25, 2015 · What is the difference between the terms "kernel" and "filter" in the context of convolutional neural networks?
When do we use an even size kernel in convolutional neural network …
Sep 13, 2018 · For an odd-size kernel, I know that its center is aligned with pixels in the image. For an even-size kernel, there is no such a center point, and I'm confused about how the kernel is combined …
What does 1x1 convolution mean in a neural network?
The convolution itself multiplies each pixel from the 3 channels with the corresponding coefficient and adds them together. This makes things more interesting: Essentially the 1x1 convolution has turned …
machine learning - What does kernel size mean? - Cross Validated
Aug 7, 2017 · When people talk about neural networks, what do they mean when they say "kernel size"? Kernels are similarity functions, but what does that say about kernel size?
Do convolutional neural networks flip the kernel?
Jul 21, 2016 · After reading various examples of CNNs it doesn't look like the kernel used for convolution is flipped. Can anybody explain why?
How Convolutional layer work exaclty in RGB image processing?
Jul 10, 2021 · However, if it works in this way, the output of the first convolutional layer would be an image of two dimensions and not an RGB image with 3 channels, as I think, it should be. The output …
Convolution with a non-square kernel - Cross Validated
Jun 15, 2018 · So far I've only encountered convolution kernels which are square (ie, have the same rows as columns). Are there any cases in which a non-square kernel makes sense? If not, why?
"Kernel density estimation" is a convolution of what?
I believe similar explanations can be made for kernel regression and local linear/polynomial regression, where the focus is more on the mean function. Nevertheless, the mean function is manifested by the …
Calculating the number of multiplications required for a 2d convolution
Dec 11, 2022 · If your convolution kernel is 5x5, then your multiplication operations will be 25, right?
difference between the "Kernel Convolution" and "Kernel PCA"
Nov 12, 2020 · For kernel PCA, the "kernel" is the same as the concept for "kernel based methods" such as support vector machines. They are functions that can stand in for the vector dot-product (or …