'Machine Learning/Deep Learning 논문'에 해당되는 글 17건

• 2021.12.12 [논문 리뷰] Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
• 2021.12.12 [논문 리뷰] Attention Is All You Need(Transformer)
• 2021.10.18 [논문 구현] Pytorch 기반 ResNeXt 구현 및 CIFAR10 실험
• 2021.10.18 [논문 리뷰] ResNeXt : Aggregated Residual Transformations for Deep Neural Networks
• 2021.10.16 [논문 구현] Pytorch 기반 VGG 구현 및 CIFAR10 실험 3
• 2021.10.14 [논문 구현] Pytorch 기반 ResNet 구현 및 CIFAR10 실험
• 2021.10.13 [논문 리뷰] ResNet : deep residual learning for image recognition