convolutional neural networks figure - convolution with multiple channels having covered all the constituent elements of cnnswe can now look at an example cnn in its entirety (see figure - the cnn consists of two stages of convolution-detector-pooling blockswith multiple filterskernels at each stage producing multiple feature maps following these two stageswe have fully connected layer that produces the output in generala cnn may have multiple stages of convolution-detector-pooling blocks (employing multiple filters)typically followed by fully connected layer