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[D] Are filters from a particular Convolutional layer for a given CNN chosen at random by random initialization of weights in that network?

In a Convolutional Layer of a given Convolutional Neural Network there is a defined input of size NxMxD. Whereas N and M stand for a dimension of an input image (can be smaller than the original size of an image due to pooling) and as I understand, D stands for a number of filters used in Convolution. My question is how network decides, what are the best filters for a given layer?

submitted by /u/rathernot000
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.