This tool was built to save people time.
Hopefully it accomplishes that goal.
Time was saved building this tool with the help of
d3, three.js, bootstrap, jquery, and font-awesome.
If there are additional features you'd like to see,
feel free to open an issue on github.
PRs welcome too.
References:
LeNail, (2019). NN-SVG: Publication-Ready Neural Network Architecture Schematics. Journal of Open Source Software, 4(33), 747, https://doi.org/10.21105/joss.00747
Google Developers. (n.d.). Softmax Regression. Retrieved from https://developers.google.com/machine-learning/recommendation/dnn/softmax
Google Developers. (n.d.). Introduction to Neural Networks: Playground Exercises. Retrieved from https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/playground-exercises
Bostock, M., Ogievetsky, V., & Heer, J. (2011). D3 data-driven documents. IEEE Transactions on Visualization and Computer Graphics, 17(12). doi:10.1109/TVCG.2011.185
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). ImageNet classification with deep convolutional neural networks. In Advances in neural information processing systems 25. Retrieved from http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-pdf
Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. In Proceedings of the ieee (pp. 2278–2324).
MIT License
Copyright (c) 2018 Alexander Lenail
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.