Interactive Backpropagation Demo for Simple Linear Regression

raiboso.me

2 pointsraibosome3 comments

Explore how (stochastic) gradient descent works on a simple linear regression. I built this demo to help me better understand backpropagation, by keeping an eye on the values of the weights as they get updated.

I've also added step-by-step remarks and graph plots to the values of the weights and the loss function.

Things you can play around with: optimiser, learning rate, variable initialiser, loss function, batch size, no. of epochs

JavaScript libraries used: Dagre-D3 (GraphViz + d3), MathJax, ApexCharts, jQuery

Any comments to this demo are welcome!

You should add Back button.

I did think about doing that but it seems a little unfeasible.

You might want to check out my repo https://github.com/raibosome/raibosome.github.io/tree/master... It's a little messy oops.

Reply on news.ycombinator.com