Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR Authors

greenelab / deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

https://greenelab.github.io/deep-review/

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Performance of Deep and Shallow Neural Networks, the Universal Approximation Theorem, Activity Cliffs, and QSAR Authors #250

Open swamidass opened 7 years ago

swamidass commented 7 years ago

http://onlinelibrary.wiley.com/doi/10.1002/minf.201600118/full

swamidass commented 7 years ago

"Clearly, for the large and diverse drug data sets modelled here using DNN and shallow regularized neural networks (BNN), the predictive power of the models is similar. "

@agitter see what I mean??

agitter commented 7 years ago

Very interesting. I barely skimmed it for now, but it looks it will be quite relevant.