No. Most of layers in a CNN perform convolutions with kernels. This is not the same as standard DNNs that do a full matrix multiply. Convolutional kernels al

No. Most of layers in a CNN perform convolutions with kernels. This is not the same as standard DNNs that do a full matrix multiply. Convolutional kernels allow you to use many fewer variables to perform the forward layer operation; and CNNs tie these trainable variables across layers. Training is not only faster, but also more robust because you have less parameters to learn.