edit: turbo mode: keep v8 at full speed:
function sleep(ms) {return new Promise(resolve => setTimeout(resolve, ms));}; while (true) {console.log(document.getElementsByClassName("content").length); await sleep(20)};
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edit: turbo mode: keep v8 at full speed:
function sleep(ms) {return new Promise(resolve => setTimeout(resolve, ms));}; while (true) {console.log(document.getElementsByClassName("content").length); await sleep(20)};
What is the tech stack used for the website/app? Looks great btw.
What is the tech stack used for the website/app? Looks great btw.
Awesome work. Now make it emit keras/tf/torch code!
One missing feature would be an "undo" function - I accidentally deleted a layer and couldn't find a way to undelete it?
Edit: just found an error when trying to actually train a network:
TypeError: Argument 1 of WebGL2RenderingContext.clientWaitSync is not an object.
This was doing a very simple MNIST->dense(200)->dense(1)->output model using Firefox 65
1. Load a Model -> Select model -> Dialog had some spelling mistakes.
2. Using react tools for chrome, I can see the UI is updating constantly when nothing changes. This is also making the popup flicker when mouse hovering over the graphs. The fix is to have ShouldComponentUpdate return false more!
Awesome work. Now make it emit keras/tf/torch code!
Had the same idea; opened a "feature request" here: https://github.com/m4nuC/aifiddle-issues/issues/6 Not sure how easy it will be to support all the types of layers on all platforms, but I think if target is Keras/PyTorch already going to be kick ass...