'Machine Learning'에 해당되는 글 34건

• 2021.12.14 [논문 리뷰] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale(ViT)
• 2021.12.13 [논문 리뷰] CMT: Convolutional Neural Networks Meet Vision Transformers
• 2021.12.13 [논문 리뷰] YOLOX: Exceeding YOLO Series in 2021 1
• 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
• 2021.10.15 [ML / 이론] Weight Initialization
• 2021.10.14 [논문 구현] Pytorch 기반 ResNet 구현 및 CIFAR10 실험