Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255

Published: April 22, 2019, 10:11 p.m.

Today we\u2019re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. \n\nShioulin and I caught up to discuss the newest report to come out of CFFL, \u201cLearning with Limited Label Data,\u201d which explores active learning as a means to build applications requiring only a relatively small set of labeled data. We start our conversation with a review of active learning and some of the reasons why it\u2019s recently become an interesting technology for folks building systems based on deep learning