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Lenet
基于LeNet-5架构的MNIST手写数字分类模型，由MindSpore官方提供
Downloads 19
Release Time : 3/2/2022
Model Overview
这是一个使用LeNet-5架构在MNIST数据集上训练的卷积神经网络模型，用于手写数字识别任务。
Model Features
经典架构
采用LeNet-5这一经典的卷积神经网络架构，结构简洁高效
轻量级模型
模型参数较少，适合在资源受限的环境中部署
高准确率
在MNIST测试集上达到99%以上的分类准确率
Model Capabilities
手写数字识别
图像分类
Use Cases
教育
手写数字识别教学
用于深度学习入门教学，展示卷积神经网络的基本原理
工业应用
邮政编码识别
可用于邮件分拣系统中的邮政编码自动识别
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