These networks have been widely used for various purposes; in the following sections, we will look at some common examples of the use of CNN networks in real-life cases.
Common CNN architecture
LeNet-5
LeNet-5 is a convolutional network that was designed by Le Cun in the 1998 for handwritten and machine-printed character recognition. It was the first successful application of convolutional networks. This CNN classifies handwritten numbers, which is why it has been widely applied by banks around the world to recognize handwritten numbers on digitized bank checks in 32 x 32 pixel grayscale images.
The following diagram shows the LeNet-5 architecture, as published by the authors (LeCun, Y., Bottou, L., Bengio, Y., and Haffner...
