Idea: use deep neural networks to predict what deep neural network architectures / hyperparams will work best on a given dataset.
@VahidK Each time you do parameter optimization on a model, you generate many data points. What if you could pool them all into a metamodel?
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@fchollet Most of the published work in computer vision use a mutation of alexnet. Exploring this space requires lots of compute power.Thanks. Twitter will use this to make your timeline better. UndoUndo
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