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Awesome work. Now make it emit keras/tf/torch code!
by bicubic 8y ago
Awesome work. Now make it emit keras/tf/torch code!
- ivan_ah 8y agoHad the same idea; opened a "feature request" here: https://github.com/m4nuC/aifiddle-issues/issues/6 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...
- deleted 8y ago[deleted]
- 0mbre 8y agoThanks for taking the time. Keras functional API export coming soon. The rest will follow.
- m4nu 8y agoIn the backlog. With export to Colab.
- bicubic 8y agoI'd encourage everyone not to support colab or any other proprietary lock-in platforms. But do as you will.
- 0mbre 8y agoI 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.
- bicubic 8y agoAnyone 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.