What is Transfer Learning - How Transfer Learning Help You in 2020?
· INTRODUCTION Data mining and machine learning technology have already achieved remarkable success in many knowledge engineering areas, including classification, regression, and clustering. However, many machine learning processes work well only under a standard assumption: the training and test data are drawn from the same feature of space and equal distribution. When the distribution changes, most models need to be rebuilt from scratch using newly collected training data. In many real-world applications, it is expensive or impossible to re-collect the required training data and restore the models. It would be nice to reconstruct the need and effort to collect the training data. In such cases, transfer learning between task domains would be desirable. · What is Transfer Learning? In this blog, we give a detailed overview of transfer learning for classification regression and clu...
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