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Deep Learning With Just a Little Data

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AnacondaCon 2018. Mike Bernico. There’s no question that deep learning is changing the field of machine learning at an extremely rapid pace. Given enough data, deep learning can solve problems we couldn’t imagine just a few years ago. But what do we do when there isn’t enough data? Can we still apply deep learning when we only have hundreds, or thousands of data points? In this talk we will discuss doing deep learning with very little data. We will discuss the topic of transfer learning, which we find to be immensely useful for the business applications of deep learning. Finally, we will present some original research that shows just how far we can go with transfer learning on very small volumes of data.

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