MIT License

项目介绍

kennethleungty/Neural-Network-Architecture-Diagrams 是一个托管在 GitHub 上的开源项目,采用 MIT License 许可证,目前获得 1.2k 个 Star、522 次 Fork。

仓库全名
kennethleungty/Neural-Network-Architecture-Diagrams
开源许可证
MIT License
Star 数
1.2k
Fork 数
522

README 摘要

Neural Network Architecture Diagrams Using diagrams.net (aka draw.io) to generate diagrams to better visualize neural network model architecture Link to TowardsDataScience article: https://towardsdatascience.com/how-to-easily-draw-neural-network-architecture-diagrams-a6b6138ed875 Diagram Examples YOLO v1 VGG-16 Autoencoder Credits to GabrielLima1995 for the Autoencoder submission Deep Convolutional Network (DCN)…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Neural-Network-Architecture-Diagrams 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 Neural-Network-Architecture-Diagrams 的源码?

可以直接克隆仓库:git clone https://github.com/kennethleungty/Neural-Network-Architecture-Diagrams.git,默认分支为 main;安装与运行步骤见仓库 README。

Neural-Network-Architecture-Diagrams 最近还在维护吗?

仓库最近一次更新为 2025年4月13日,当前没有未关闭的 Issue;Star 数为 1.2k,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Diagrams for visualizing neural network architecture

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

README

Neural Network Architecture Diagrams

Using diagrams.net (aka draw.io) to generate diagrams to better visualize neural network model architecture

Link to TowardsDataScience article: https://towardsdatascience.com/how-to-easily-draw-neural-network-architecture-diagrams-a6b6138ed875


Diagram Examples

YOLO v1

YOLO V1


VGG-16

VGG-16


Autoencoder

Autoencoder
Credits to GabrielLima1995 for the Autoencoder submission


Deep Convolutional Network (DCN)

DCN
Credits to Mohammed Lubbad for the DCN submission


Recurrent Neural Network(RNN)

RNN
Credits to Mohammed Lubbad for the RNN submission


Auto Encoder (AE)

AE
Credits to Mohammed Lubbad for the AE submission


Deep Belief Network (DBN)

DBN
Credits to Mohammed Lubbad for the DBN submission


Restricted BM (RBMs)

RBM
Credits to Mohammed Lubbad for the RBM submission


ConvLSTM2D for Action Recognition

RBM
Credits to Faiga Alawad for the submission


U-Net

U-Net
Credits to Luca Marini for the submission


1D Complex-Valued Neural Network (CVNN)

1D-CVNN
Credits to Moh Kashani for the submission


Feature Pyramid Network

Feature-Pyramid Credits to Serge Bishyr for the submission


Contributing

  • Have you built certain architecture diagrams with diagrams.net which you would like to share with everyone? You’re welcome to contribute with a pull request! (Credits will given to you)

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