21–30 of 51 posts
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.…
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…
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.…
What is the tech stack used for the website/app? Looks great btw.
This is really well done. I've got to mention two missing features that I find important: 1 - help popups: it will be nice if terms had a small help icon that can display a little context on hover/press (that's a quick win, makes unknown things usable, much easier to implement than a full manual/interactive tutorial) 2 - social login / email-only login: you are missing sign-ups (I hate having more passwords).
2- Yep fairly easy win too as I am using Cognito for auth.
Thanks for the feedback
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…
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...
Earlier quoted context omitted.
In the backlog. With export to Colab.
I'd encourage everyone not to support colab or any other proprietary lock-in platforms. But do as you will.
"Appologies AiFiddle currently does not support mobile device.
Do you want to get notified on futur updates ?"
'Apologies' and 'future'.
Looks promising though, will check back when on desktop.