Transfer learning allows data scientists to leverage insights from large labeled datasets. The general idea of transfer learning is to use knowledge learned from tasks for which a lot of labeled data is available in settings where only little labelled data is available. Lars Hulstaert explains what transfer learning is and demonstrates how it can boost your NLP or CV pipelines.
Lars Hulstaert is a data scientist at Microsoft. Previously, he studied machine learning at Cambridge University and Ghent University.
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