Ryo-Ito / Noisy-Labels-Neural-Network

Chainer implementation of Noisy Labels Neural-Network

Noisy-Labels-Neural-Network

Chainer implementation of "Training Deep Neural-Networks Based on Unreliable Labels." Note that this is not an official implementation of the paper.

Training of the network runs by

$ python train.py

The result of relabeling noisy training data would look like below.

Reference

[1] Bekker, Alan Joseph, and Jacob Goldberger. "Training deep neural-networks based on unreliable labels." Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on. IEEE, 2016.