What is kernel in Deep Learning?

Question

Can anyone tell me what is kernel in Deep Learning?

Answer 1

In Deep Learning, the kernel is nothing but a filter in convolution neural network that is used to extract the features from the images. The kernel is a matrix that moves over the input data, performs the dot product with the sub-region of input data, and gets the output as the matrix of dot products. Kernel moves on the input data by the stride value. If the stride value is 2, then the kernel moves by 2 columns of pixels in the input matrix. In short, the kernel is used to extract high-level features like edges from the image.

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