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Vitruvian Science: a visual editor for quickly building neural networks in the cloud
Markus Beissinger · Sherjil Ozair

Tue Dec 08 04:00 PM -- 08:55 PM (PST) @ 210D

We present a visual editor to make prototyping deep learning systems akin to building with Legos. This system allows you to visually depict architecture layouts (as you would on a whiteboard or scrap of paper) and compiles them to Theano functions running on the cloud. Our goal is to speed up development and debugging for novel deep learning architectures.

Author Information

Markus Beissinger (Vitruvian Science)
Sherjil Ozair (Indian Institute of Technology Delhi)

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