The primary goal of DeepEq is to create a bridge between deep learning theory and practice and allow users to reason about the implications of backpropagation in an interactive way. The equations are kept as simple as possible to make them accessible to high school level students and above. DeepEq provides the following functionality:
- It allows users to create a small artificial neural network by joining perceptrons
- A simple ”click” on a perceptron reveals the underlying (colorized) equations for forward- and backpropagation
- The integrated code editor allows users to tinker with and implement their own backpropagation algorithm
- A complementary instructional tutorial that serves as a guide throughout the learning process
This repo was created using Idyll and Math.js. It contains the following files and directories (only the most important are listed here):
| Directory | Description |
|---|---|
| index.idyll | Entrypoint file |
| styles.css | CSS stylesheet |
| components | Custom react components (flowchart.js is the main component) |
| static | Static files such as images |
| docs | A copy of the build folder (for hosting on GitHub Pages) |
- Make sure you have
idyllinstalled (npm i -g idyll). - Clone this repo and run
npm install.
Run idyll.
(Make sure to have all dependencies installed: npm install)
Run idyll build. The output will appear in the top-level build folder.
(For Github-Pages: Copy the contents of the build folder to the docs folder)
You can install custom dependencies by running npm install <package-name> --save. Note that any collaborators will also need download the package locally by running npm install after pulling the changes.