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Detecting Signed and Unsigned Documents with Deep Learning - Beyond Transfer... - Jordan Bramble

2,818 views · Published 29 November 2018 · 31:42 · Indexed 20 October 2026

Channel: PyData · 2018 · Science & Technology

PyData LA 2018 

This talk discusses using transfer learning and novel forms of feature engineering to detect and localize the absence of signatures in legal documents. This talk is targeted towards attendees with some familiarity with computer vision who are interested in an applied case study, learning how to leverage deep learning with small amounts of data, or applying computer vision to text documents.

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Detecting Signed and Unsigned Documents with Deep Learning - Beyond Transfer... - Jordan Bramble

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