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Show HN: Deep Learning GUI to Create, Train and Visualize Models in a Browser

beta.aifiddle.io

11–20 of 51 posts

Re: Show HN: Deep Learning GUI to Create, Train and Visualize Models in a Browser

#11
If you want your model to train 20x faster, continuously move your mouse up and down the far left menu, or open the outline and madly expand/collapse the options for a layer :D

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)};

Re: Show HN: Deep Learning GUI to Create, Train and Visualize Models in a Browser

#17
Really nice - really like it for just fiddling around with models.

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

Re: Show HN: Deep Learning GUI to Create, Train and Visualize Models in a Browser

#18
Wow this is great! Makes the process so much more interactive, being able to draw your own digits and it gets recognised is great. Some small issues I ran into for your todo list:

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!

Re: Show HN: Deep Learning GUI to Create, Train and Visualize Models in a Browser

#20
post #7

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...

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