Learning Convolutional Neural Networks with Interactive Visualization.

Overview

CNN Explainer

An interactive visualization system designed to help non-experts learn about Convolutional Neural Networks (CNNs)

build arxiv badge DOI:10.1109/TVCG.2020.3030418

For more information, check out our manuscript:

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization. Wang, Zijie J., Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Duen Horng Chau. IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020.

Live Demo

For a live demo, visit: http://poloclub.github.io/cnn-explainer/

Running Locally

Clone or download this repository:

git clone [email protected]:poloclub/cnn-explainer.git

# use degit if you don't want to download commit histories
degit poloclub/cnn-explainer

Install the dependencies:

npm install

Then run CNN Explainer:

npm run dev

Navigate to localhost:5000. You should see CNN Explainer running in your broswer :)

To see how we trained the CNN, visit the directory ./tiny-vgg/. If you want to use CNN Explainer with your own CNN model or image classes, see #8 and #14.

Credits

CNN Explainer was created by Jay Wang, Robert Turko, Omar Shaikh, Haekyu Park, Nilaksh Das, Fred Hohman, Minsuk Kahng, and Polo Chau, which was the result of a research collaboration between Georgia Tech and Oregon State.

We thank Anmol Chhabria, Kaan Sancak, Kantwon Rogers, and the Georgia Tech Visualization Lab for their support and constructive feedback.

Citation

@article{wangCNNExplainerLearning2020,
  title = {{{CNN Explainer}}: {{Learning Convolutional Neural Networks}} with {{Interactive Visualization}}},
  shorttitle = {{{CNN Explainer}}},
  author = {Wang, Zijie J. and Turko, Robert and Shaikh, Omar and Park, Haekyu and Das, Nilaksh and Hohman, Fred and Kahng, Minsuk and Chau, Duen Horng},
  journal={IEEE Transactions on Visualization and Computer Graphics (TVCG)},
  year={2020},
  publisher={IEEE}
}

License

The software is available under the MIT License.

Contact

If you have any questions, feel free to open an issue or contact Jay Wang.

Comments
  • detail view not work with new added convolution nodes

    detail view not work with new added convolution nodes

    Hallo @xiaohk, thank you very much for your reply, it is very helpful. I now fixed several problems I have met, for example the detail view of existing convolution nodes now are displayed with their former nodes and bais normally. But I still cant make new added convolution nodes show their detail view animation. 屏幕截图 2021-12-06 171833

    and here are the codes I changed:

    const layerIndexDict = { 'input': 0, 'conv_1_1': 1, 'relu_1_1': 2, 'conv_1_2': 3, 'relu_1_2': 4, 'max_pool_1': 5, 'conv_2_1': 6, 'relu_2_1': 7, 'conv_2_2': 8, 'relu_2_2': 9, 'max_pool_2': 10, 'conv_3_1': 11, 'relu_3_1': 12, 'conv_3_2': 13, 'relu_3_2': 14, 'max_pool_3': 15, 'output': 16 }

    const layerLegendDict = { 0: {local: 'input-legend', module: 'input-legend', global: 'input-legend'}, 1: {local: 'local-legend-0-1', module: 'module-legend-0', global: 'global-legend'}, 2: {local: 'local-legend-0-1', module: 'module-legend-0', global: 'global-legend'}, 3: {local: 'local-legend-0-2', module: 'module-legend-0', global: 'global-legend'}, 4: {local: 'local-legend-0-2', module: 'module-legend-0', global: 'global-legend'}, 5: {local: 'local-legend-0-2', module: 'module-legend-0', global: 'global-legend'}, 6: {local: 'local-legend-1-1', module: 'module-legend-1', global: 'global-legend'}, 7: {local: 'local-legend-1-1', module: 'module-legend-1', global: 'global-legend'}, 8: {local: 'local-legend-1-2', module: 'module-legend-1', global: 'global-legend'}, 9: {local: 'local-legend-1-2', module: 'module-legend-1', global: 'global-legend'}, 10: {local: 'local-legend-1-2', module: 'module-legend-1', global: 'global-legend'}, 11: {local: 'local-legend-2-1', module: 'module-legend-2', global: 'global-legend'}, 12: {local: 'local-legend-2-1', module: 'module-legend-2', global: 'global-legend'}, 13: {local: 'local-legend-2-2', module: 'module-legend-2', global: 'global-legend'}, 14: {local: 'local-legend-2-2', module: 'module-legend-2', global: 'global-legend'}, 15: {local: 'local-legend-2-2', module: 'module-legend-2', global: 'global-legend'}, 16: {local: 'output-legend', module: 'output-legend', global: 'output-legend'} } // I'm not sure if I did right here

    let updatingLayerIndexDict = { local: { module: [1, 2, 8, 9, 10, 13, 14, 15], global: [1, 2, 3, 4, 5, 8, 9, 10, 13, 14, 15] }, module: { local: [1, 2, 8, 9, 10, 13, 14, 15], global: [1, 2, 3, 4, 5, 8, 9, 10, 13, 14, 15] }, global: { local: [1, 2, 3, 4, 5, 8, 9, 10, 13, 14, 15], module: [1, 2, 3, 4, 5] } }; // about this part I dont really understand how this works and how can people change it to adjust to another model

    and I have a question about the following part:

    let detailedViewAbsCoords = { 1 : [600, 270, 490, 290], 2 : [500, 270, 490, 290], 3 : [700, 270, 490, 290], 4 : [600, 270, 490, 290], 5 : [650, 270, 490, 290], 6 : [775, 270, 490, 290], 7 : [100, 270, 490, 290], 8 : [60, 270, 490, 290], 9 : [200, 270, 490, 290], 10: [300, 270, 490, 290], } what does this part mean? should I change this part to adjust to my model? and how?

    opened by baobobby 6
  • cnn _ explainer in local host

    cnn _ explainer in local host

    hi ... i tried to rub the package.jason in eclipse . the message console shows the local host port . but when i open the local host in chrome the CNN explainer remains blank.

    opened by swetha311295 6
  • Error in running tiny-vgg.py

    Error in running tiny-vgg.py

    Hi,

    I ran the tiny-vgg.py following the conda env (supposedly all dependencies are installed), and I got error like below. ValueError: Input 0 of layer sequential is incompatible with the layer: its rank is undefined, but the layer requires a defined rank. I'm seeking your thoughts on what is going on. No one else seems have this issue. Thanks for your time answering this.

    opened by ScorpLee 6
  • How to display images on git pages with cnn explainer

    How to display images on git pages with cnn explainer

    I am training on tiny-vgg using a plant image dataset and am trying to display it in browser in cnn-explainer. I could run npm run dev command and see it in my local environment, but when I run npm run build command and try to view it on github pages it doesn't work. Only the layer part of the neural network is not displayed. What should i do? Please tell me how to solve it. https://nikamasa51-d4c7cc0837.drafts.github.io/Study_CNN_Explainer/

    opened by NikaMasa51 5
  • Whether is possible to customize the CNN-Explainer

    Whether is possible to customize the CNN-Explainer

    Hi.

    Thank you for sharing this excellent work. The explainer is super helpful for understanding the CNN. Since I am not familiar with the TF.js. I wonder if I finetune the tiny-VGG on other datasets for example dog vs cat, will explainer automatically change to show how the CNN works on dog vs cat? Or I have to rewrite the part of the js to make it works. Thank you.

    opened by ljjsfe 5
  • The explainer won't show up in the browser

    The explainer won't show up in the browser

    Hi! First of all I really do appreciate you and your team hard work! But, a problem occurred in my browser, Well the rest of the page is working smoothly, Unfortunately the explainer wouldn't show up.. is there anything that I could do? I've also try to open it locally, but still the problem occurred :( image image

    opened by Anindya18081010098 4
  • no CNN Explainer running in broswer

    no CNN Explainer running in broswer

    Hi, I have download git and npm, and the cnn-explainer was downloaded successfully, then I used npm run dev, it showed "you application is ready" ! 1

    but when I input "localhost:5000" in my broswer, there is nothing in my broswer, 2

    I don't know where was wrong. Please help me, thank you.

    opened by homingZhang 4
  • ReLu function max(0,a) gives 0

    ReLu function max(0,a) gives 0

    Using Ladybug pic as an example, the ReLU function after the top one layer (orange colour) gives 0 when the max value is not zero. For example, I got max(0,0.64)=0. Should it be 0.64? Thank you.

    opened by jeromecy 3
  • Layout messed up

    Layout messed up

    Hello,

    Kudos to this awesome project!!! I love it.

    I just downloaded the repo and I was able to run it locally. But the layout seems completely messed up. It's not as organized as the live demo. I've tried it on Chrome, Safari and Firefox and they all have the same messed layout.

    I wonder if there is a way to get it fixed. Thanks

    See images below:

    image image image

    opened by LqYe 3
  • vue中无法运行

    vue中无法运行

    当我运行程序的时候就会报错,也不知道是什么原因,哪位大神帮忙指点迷津,谢谢! D:\works\qianduan\ywgz-mini-program>npm run dev npm ERR! Windows_NT 10.0.19042 npm ERR! argv "D:\software\node\node_new\node.exe" "C:\Users\86152\AppData\Roaming\npm\node_modules\npm\bin\npm-cli.js" "ru n" "dev" npm ERR! node v16.14.0 npm ERR! npm v3.8.6 npm ERR! path D:\works\qianduan\ywgz-mini-program\package.json npm ERR! code ENOENT npm ERR! errno -4058 npm ERR! syscall open

    npm ERR! enoent ENOENT: no such file or directory, open 'D:\works\qianduan\ywgz-mini-program\package.json' npm ERR! enoent ENOENT: no such file or directory, open 'D:\works\qianduan\ywgz-mini-program\package.json' npm ERR! enoent This is most likely not a problem with npm itself npm ERR! enoent and is related to npm not being able to find a file. npm ERR! enoent

    npm ERR! Please include the following file with any support request: npm ERR! D:\works\qianduan\ywgz-mini-program\npm-debug.log

    opened by ChenWeiJiaGitHub 2
  • Possible to support loading and introspecting via ONNX.js?

    Possible to support loading and introspecting via ONNX.js?

    Relates #2 and #8: Might it be possible to support loading / introspecting (a subset of) models loaded via ONNX.js? https://github.com/Microsoft/onnxjs

    Curious because we would like to visualize our own PyTorch model / networks.

    I'm assuming that this may be closed as out-of-scope, which is totally fine! Just wanna put it out there ;)

    opened by EricCousineau-TRI 2
Releases(0.9.1)
Owner
Polo Club of Data Science
Research project repositories, from the Polo Club of Data Science at Georgia Tech
Polo Club of Data Science
Displaying plot of death rates from past years in Poland. Data source from these years is in readme

Average-Death-Rate Displaying plot of death rates from past years in Poland The goal collect the data from a CSV file count the ADR (Average Death Rat

Oliwier Szymański 0 Sep 12, 2021
Missing data visualization module for Python.

missingno Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities tha

Aleksey Bilogur 3.4k Dec 29, 2022
View part of your screen in grayscale or simulated color vision deficiency.

monolens View part of your screen in grayscale or filtered to simulate color vision deficiency. Watch the demo on YouTube. Install with pip install mo

Hans Dembinski 31 Oct 11, 2022
This is Pygrr PolyArt, a program used for drawing custom Polygon models for your Pygrr project!

This is Pygrr PolyArt, a program used for drawing custom Polygon models for your Pygrr project!

Isaac 4 Dec 14, 2021
a robust room presence solution for home automation with nearly no false negatives

Argos Room Presence This project builds a room presence solution on top of Argos. Using just a cheap raspberry pi zero w (plus an attached pi camera,

Angad Singh 46 Sep 18, 2022
Domain Connectivity Analysis Tools to analyze aggregate connectivity patterns across a set of domains during security investigations

DomainCAT (Domain Connectivity Analysis Tool) Domain Connectivity Analysis Tool is used to analyze aggregate connectivity patterns across a set of dom

DomainTools 34 Dec 09, 2022
A small tool to test and visualize protein embeddings and amino acid proportions.

polyprotein_stats A small tool to test and visualize protein embeddings and amino acid proportions. Currently deployed on streamlit.io. Given a set of

2 Jan 07, 2023
Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

pivottablejs: the Python module Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js Installation pip install pivot

Nicolas Kruchten 512 Dec 26, 2022
Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from time series data.

ts2vg: Time series to visibility graphs The Python ts2vg package provides high-performance algorithm implementations to build visibility graphs from t

Carlos Bergillos 26 Dec 17, 2022
Sci palettes for matplotlib/seaborn

sci palettes for matplotlib/seaborn Installation python3 -m pip install sci-palettes Usage import seaborn as sns import matplotlib.pyplot as plt impor

Qingdong Su 2 Jun 07, 2022
Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

Boltzmann visualization - Visualize the Boltzmann distribution for simple quantum models of molecular motion

1 Jan 22, 2022
Function Plotter: a simple application with GUI to plot mathematical functions

Function-Plotter Function Plotter is a simple application with GUI to plot mathe

Mohamed Nabawe 4 Jan 03, 2022
Time series visualizer is a flexible extension that provides filling world map by country from real data.

Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d

Long Ng 3 Jul 09, 2021
Pydrawer: The Python package for visualizing curves and linear transformations in a super simple way

pydrawer 📐 The Python package for visualizing curves and linear transformations in a super simple way. ✏️ Installation Install pydrawer package with

Dylan Tintenfich 56 Dec 30, 2022
Visualization of numerical optimization algorithms

Visualization of numerical optimization algorithms

Zhengxia Zou 46 Dec 01, 2022
By default, networkx has problems with drawing self-loops in graphs.

By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to

Vladimir Shitov 5 Jan 06, 2022
Smarthome Dashboard with Grafana & InfluxDB

Smarthome Dashboard with Grafana & InfluxDB This is a complete overhaul of my Raspberry Dashboard done with Flask. I switched from sqlite to InfluxDB

6 Oct 20, 2022
demir.ai Dataset Operations

demir.ai Dataset Operations With this application, you can have the empty values (nan/null) deleted or filled before giving your dataset to machine le

Ahmet Furkan DEMIR 8 Nov 01, 2022
Show Data: Show your dataset in web browser!

Show Data is to generate html tables for large scale image dataset, especially for the dataset in remote server. It provides some useful commond line tools and fully customizeble API reference to gen

Dechao Meng 83 Nov 26, 2022
Python library that makes it easy for data scientists to create charts.

Chartify Chartify is a Python library that makes it easy for data scientists to create charts. Why use Chartify? Consistent input data format: Spend l

Spotify 3.2k Jan 04, 2023