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...

Thanks for taking the time. Keras functional API export coming soon. The rest will follow.

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.

I see the cons indeed, however I thought it would be really cool to continue training of a promising model in a more capable environment in just a couple of click.

Anyone who is messing around with convolutional networks is almost guaranteed to have anaconda installed. The convenience of a few less clicks in exchange for platform lock-in is exactly the devi's deal that the 3 major cloud providers have started doing.

Think really hard about the implications of enabling them. Do you want a future where Google® Colab™ is the primary way to work with data, where personal computing is dead and replaced by cloud? That's what they are striving for with this strategy.