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

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

b'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'