Convolutional neural networks (CNNs) emerged from the study of the brain’s visual cortex, and they have been used in image recognition since the 1980s. These studies of the visual cortex inspired the neocognitron, introduced in 1980,4 which gradually evolved into what we now call convolutional neural networks. An important milestone was a 1998 paper by Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner, which introduced the famous LeNet-5 architecture, widely used to recognize handwritten check numbers.
playlist : • Deep Learning with Keras (Bangla)
CNN: https://jahidme.github.io/cnn/2020/04...
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