
## 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](https://gitee.com/mindspore/mindspore/blob/r1.2/model_zoo/official/cv/lenet/README.md#). 

## 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/)



{"license": "apache-2.0", "library_name": "mindspore", "tags": ["image-classification"], "datasets": ["mnist"]}
mindspore image-classification dataset:mnist license:apache-2.0 region:us
TAGS
#mindspore #image-classification #dataset-mnist #license-apache-2.0 #region-us 


## 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

source



## 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

source
TAGS
#mindspore #image-classification #dataset-mnist #license-apache-2.0 #region-us 
 ## 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

source
TAGS
#mindspore #image-classification #dataset-mnist #license-apache-2.0 #region-us 
## 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

source