Convolution, Cnn, Machinelearningalgorithms, Deep Learning, Relu.
compute (I∗K): (I∗K)(0,0)=1×0+2×1+3×2+4×0=8 (I∗K)(0,1)=2×0+3×1+4×2+5×3=26 (I∗K)(1,0)=4×0+5×1+6×2+7×0=17 (I∗K)(1,1)=5×0+6×1+7×2+8×3=53 So the resultant matrix is : i*k = [8 26 17 53] Convolution in Deep Learning: In the context of deep learning and neural networks, convolution is widely used in