LeNet which is a classical image classification deep learning convolutional neural network. You can think of such systems as a system that learns and predicts compressed version of images, taking an area of an image, dilute it with an algorithm, and predict the sums of all “diluted patches” (which, are features).

But most of them just review one of the versions, i.e. LeNet-5. LeNet-1, LeNet-4 and Boosted LeNet-4 are usually ignored. In this story, I will have an brief review on the network architectures o


Reccomended Readings

https://sh-tsang.medium.com/paper-brief-review-of-lenet-1-lenet-4-lenet-5-boosted-lenet-4-image-classification-1f5f809dbf17