LeNet, developed by French computer scientist Yann Lecun, was the frontrunner to the convolutional neural network (CNN). His breakthrough came when he conceived a neural network modelled on the human visual cortex. He called it a convolutional neural network, inspired by Kunihiko Fukushima, a Japanese computer scientist. CNNs process an image by dividing it into squares, analysing each one separately to find small patterns, and later piecing them together to make sense, just like the human brain’s visual cortex.

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