논문 구현2 [논문 구현] Learning both weights and connections for efficient Neural Network 해당 코드를 참고하여 작성하였습니다. https://github.com/jack-willturner/deep-compression GitHub - jack-willturner/deep-compression: Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626 - GitHub - jack-willturner/deep-compression: Learning both Weights and Connections for Efficien.. 2022. 6. 2. [코드 구현] CIFAR100 Image Classification with Noisy Labels Code using mixup : https://github.com/shshin1210/cv-proj-withmixup/blob/main/README.md Code using PENCIL : https://github.com/shshin1210/pencil_cifar100 Data : https://www.kaggle.com/c/cifar100-image-classification-with-noisy-labels/data CIFAR100 image classification with Noisy Labels | Kaggle www.kaggle.com Kaggle에서 시행한 대회 중 Noisy Label이 있는 CIFAR100 데이터를 가지고 Image Classification 하고자 한다. Noisy l.. 2022. 5. 14. 이전 1 다음
