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MindSpore Image Classification models with MNIST on the 🤗Hub!

This repository contains the model from this notebook on image classification with MNIST dataset using LeNet architecture.

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

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Dataset used to train helloway/lenet