convolutional neural networks the convolutiondetectorand pooling operations are applied in sequence to transform the input to the output the output is referred to as feature map the output typically is passed on to other layers (convolutional or fully connectedmultiple convolution-detector-pooling blocks can be applied in parallelconsuming the same input and producing multiple outputs or feature maps figure - convolution followed by detector stage and pooling