Vitruvian Science: a visual editor for quickly building neural networks in the cloud
Markus Beissinger · Sherjil Ozair
2015 Demonstration
Abstract
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.
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