## Convolutional Neural Network Basics

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Convolution It is a matrix operation in which we add each element with local neighbors with respect to the weight of the kernels. Mathematically, it is the element-wise product of each element of the kernel with the image-piece followed by a sum. These filters can be used to detect various things like edges etc.
Filters/Kernels Filters/Kernels capture features in their receptive field using matrices containing values (weights) with convolution. A higher result of this operation implies that the feature captured by the kernel is in the image, and a lower score implies the opposite.