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README.md
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---
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datasets:
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- ylecun/mnist
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language:
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- en
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tags:
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- cv
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---
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## LeNet Description
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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.
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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.
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![LeNet Architecture](./lenetarchitecture.jpeg)
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[source](https://www.analyticsvidhya.com/blog/2021/03/the-architecture-of-lenet-5/)
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