The invention discloses a transfer learning method and device. The method comprises setting relevant parameters of transfer learning and performing initialization; starting transfer learning iteration to obtain automatic annotation data; when the number of the iteration meets an iteration cycle, performing error detection on the automatic annotation data serving as samples in the iteration cycle to determine the sample relative quality of the iteration cycle; according to the sample relative quality, determining whether to delete or retain the samples and determining whether to continue the transfer learning iteration; when the transfer learning iteration is stopped, outputting the retainer samples and a transfer classifier. The transfer learning method has the advantage that, during a transfer learning process, the learning process is divided according to the transfer cycle, error detection is performed every full cycle, the samples are screened according to the sample relative quality determined through the error detection, so that low-quality samples can be eliminated to achieve the aim of improving the sample quality of automatic annotation data during the transfer learning process and further to improve the accuracy of a system applying the transfer learning method.
|Translated title of the contribution||Transfer learning method and device|
|Original language||Chinese (Simplified)|
|Patent number||ZL 2015 1 0032970.4|
|IPC||G06K 9/66,G06F 17/30|
|Publication status||Published - 12 Jun 2018|