@webwriter/neural-network NPM

Get started

In WebWriter, install the "Neural Network" package and click to insert.

Usage outside of WebWriter

The project can be built for different platforms by using the premade vite build config. For this, run vite build --config vite.config.js. When using npm, the command can be executed with npm run create. You can test the result either by using npm run start or by using a different tool for serving locally. Note that an index html file needs to be placed inside the dist folder for the project to work properly in a browser. In general, make sure that you specify the correct paths to access the custom assets.

Deep learning simulation for WebWriter

This widget adds a deep learning simulation to WebWriter. As a teacher, you can:

choose from a number of preconfigured examples
build a custom network topology
create custom datasets
customize training parameters
test the trained model by predicting
choose what options you want to give your students (ranging from allowing them to edit nearly everything you can up to providing them a 'view and explore'-only experience)
provide students with help in a Q&A section

State of the widget

Bugs

prediction for classification data sets results in NaN
weights are falsely assigned during training for complex network structures containing layers with multiple incoming layers
validation for creating data sets is missing at some parts
when clicking on quick setup options, nothing happen