Convolution, Cnn, Machinelearningalgorithms, Deep Learning, Relu.
filter is then moved to the next position, and the process is repeated until the entire input is traversed. Weights The weights a convnet learns during training are primarily contained in its convolutional layers. These weights we call kernels. We can represent them as small arrays: A kernel