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
Editor and Presenter for Manim Generated Content.

Editor and Presenter for Manim Generated Content. Take a look at the Working Example. More information can be found on the documentation. These Browse

Manim Community 149 Dec 29, 2022
Certificate generating and sending system written in Python.

Certificate Generator & Sender How to use git clone https://github.com/saadhaxxan/Certificate-Generator-Sender.git cd Certificate-Generator-Sender Add

Saad Hassan 11 Dec 01, 2022
Extract data from ThousandEyes REST API and visualize it on your customized Grafana Dashboard.

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Flo Pachinger 16 Nov 26, 2022
A customized interface for single cell track visualisation based on pcnaDeep and napari.

pcnaDeep-napari A customized interface for single cell track visualisation based on pcnaDeep and napari. 👀 Under construction You can get test image

ChanLab 2 Nov 07, 2021
Piglet-shaders - PoC of custom shaders for Piglet

Piglet custom shader PoC This is a PoC for compiling Piglet fragment shaders usi

6 Mar 10, 2022
Debugging, monitoring and visualization for Python Machine Learning and Data Science

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

Microsoft 3.3k Dec 27, 2022
nvitop, an interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management

An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.

Xuehai Pan 1.3k Jan 02, 2023
An(other) implementation of JSON Schema for Python

jsonschema jsonschema is an implementation of JSON Schema for Python. from jsonschema import validate # A sample schema, like what we'd get f

Julian Berman 4k Jan 04, 2023
Draw datasets from within Jupyter.

drawdata This small python app allows you to draw a dataset in a jupyter notebook. This should be very useful when teaching machine learning algorithm

vincent d warmerdam 505 Nov 27, 2022
Visualizations of linear algebra algorithms for people who want a deep understanding

Visualising algorithms on symmetric matrices Examples QR algorithm and LR algorithm Here, we have a GIF animation of an interactive visualisation of t

ogogmad 3 May 05, 2022
Simple spectra visualization tool for astronomers

SpecViewer A simple visualization tool for astronomers. Dependencies Python = 3.7.4 PyQt5 = 5.15.4 pyqtgraph == 0.10.0 numpy = 1.19.4 How to use py

5 Oct 07, 2021
Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Minimalistic tool to visualize how the routes to a given target domain change over time, feat. Python 3.10 & mermaid.js

Péter Ferenc Gyarmati 1 Jan 17, 2022
Matplotlib colormaps from the yt project !

cmyt Matplotlib colormaps from the yt project ! Colormaps overview The following colormaps, as well as their respective reversed (*_r) versions are av

The yt project 5 Sep 16, 2022
🎨 Python Echarts Plotting Library

pyecharts Python ❤️ ECharts = pyecharts English README 📣 简介 Apache ECharts (incubating) 是一个由百度开源的数据可视化,凭借着良好的交互性,精巧的图表设计,得到了众多开发者的认可。而 Python 是一门富有表达

pyecharts 13.1k Jan 03, 2023
A set of useful perceptually uniform colormaps for plotting scientific data

Colorcet: Collection of perceptually uniform colormaps Build Status Coverage Latest dev release Latest release Docs What is it? Colorcet is a collecti

HoloViz 590 Dec 31, 2022
Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend:

JoyPy JoyPy is a one-function Python package based on matplotlib + pandas with a single purpose: drawing joyplots (a.k.a. ridgeline plots). The code f

Leonardo Taccari 462 Jan 02, 2023
simple tool to paint axis x and y

simple tool to paint axis x and y

G705 1 Oct 21, 2021
Application for viewing pokemon regional variants.

Pokemon Regional Variants Application Application for viewing pokemon regional variants. Run The Source Code Download Python https://www.python.org/do

Michael J Bailey 4 Oct 08, 2021
649 Pokémon palettes as CSVs, with a Python lib to turn names/IDs into palettes, or MatPlotLib compatible ListedColormaps.

PokePalette 649 Pokémon, broken down into CSVs of their RGB colour palettes. Complete with a Python library to convert names or Pokédex IDs into eithe

11 Dec 05, 2022
A streamlit component for bi-directional communication with bokeh plots.

Streamlit Bokeh Events A streamlit component for bi-directional communication with bokeh plots. Its just a workaround till streamlit team releases sup

Ashish Shukla 123 Dec 25, 2022