How to use Deep Learning when you have Limited Data

Re:How to use Deep Learning when you have Limited Data by ChaitanyaSai on Friday February 03, 2017 @04:47AM (#13558780)

Just poked around a bit with your API, and the learning with just 25 samples is impressive! And the getting training samples from the web is a great touch. But that 25 sample number seems too low for classes that are "closer" together? How do you quantify if you have done a good job on training or if you need some varied samples?

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Re:How to use Deep Learning when you have Limited Data by sarthakjain on Friday February 03, 2017 @04:59AM (#13558822)

Thanks for trying us out! Internally we have validation metrics which have a number that says how good a model is at class separation. One naive way to do this entropy (-plogp). We are planning on exposing this to users soon. So once you create a model you'll receive feedback as to how "good" we think it is. In case it's not working well we might ask you for more data (we hope we don't need to do this too frequently)

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