https://github.com/stared/dl-diag-d3js
Deep Learning architecture diagrams - a D3.js library
https://github.com/stared/dl-diag-d3js
Last synced: 5 months ago
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Deep Learning architecture diagrams - a D3.js library
- Host: GitHub
- URL: https://github.com/stared/dl-diag-d3js
- Owner: stared
- License: mit
- Created: 2018-06-14T12:19:07.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-06-14T16:52:44.000Z (over 7 years ago)
- Last Synced: 2025-02-23T13:07:43.139Z (10 months ago)
- Language: JavaScript
- Size: 2.93 KB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# dl-diag-d3js
Deep Learning architecture diagrams - a D3.js library
Typical artificial neural network diagrams in publications are ugly or unreadable. Let's change that!
## Ideas
(We are above ideas-todo unification energy.)
* Networks
- Typical networks
- Network parts
- Small, Colah-like diagrams
* Vis types
- Abstract blocks
- 3D cuboids
* Release as:
- website ()
- npm package
- pip-installable Jupyter Notebook-renderable package
* Drawing
* Import architectures from:
- Keras
- ONNX (though, won't be it to detailed)