---
datasets:
- ylecun/mnist
language:
- en
tags:
- cv
---

## LeNet Description

Lenet-5 is one of the earliest pre-trained models proposed by Yann LeCun and others in the year 1998, in the research paper Gradient-Based Learning Applied to Document Recognition. They used this architecture for recognizing the handwritten and machine-printed characters.

The main reason behind the popularity of this model was its simple and straightforward architecture. It is a multi-layer convolution neural network for image classification.

![LeNet Architecture](./lenetarchitecture.jpeg)

[source](https://www.analyticsvidhya.com/blog/2021/03/the-architecture-of-lenet-5/)