{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/113452"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/113452","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Build your own deep learner","abstract":"BYODL is a framework for building deep learning-based mobile apps to solve domain-specific image recognition problems. Domain-specific image recognition problems are challenging due to lack of labeled data - few have the expertise to assign labels to the images. By using the mobile app to collect data, our framework speeds up the process of improving the model's performance and makes the updated version readily available to app users. By handling the details of setting up the infrastructure and the mobile app boilerplate, BYODL helps users produce a functional image recognition app in a matter of hours instead of months. 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