MNIST-Auxiliary-Decoder (English)

• Implemented auxiliary decoder mentioned in the paper 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks' (https://arxiv.org/abs/1610.02136).
• Used MNIST dataset for label classification and in/out distribution classification
• Most works are written by Sangsu Lee (https://github.com/2sang)

MNIST-Auxiliary-Decoder (Korean)

• 'A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks' (https://arxiv.org/abs/1610.02136) 논문에서 나온 auxiliary decoder를 구현하였습니다.
• MNIST 데이터를 이용하여 구현하였으며, label classification과 in/out distribution 여부를 구분하는 classification algorithm입니다.
• 대부분의 코드는 이상수님 (https://github.com/2sang) 께서 작성하신 코드입니다.