기초 베이지안 이론 (Basic Bayesian Theory)

머신 러닝 관련 글 목록 사전 지식 1 : https://gaussian37.github.io/ml-concept-mle-and-map/ 사전 지식 2 : https://gaussian37.github.io/ml-concept-mlemap...

8 minute read

Luis Serrano의 PCA(Principal Component Analysis) 강의

머신러닝 글 목록 참조 : https://youtu.be/g-Hb26agBFg?list=WL 참조 : http://www.stat.cmu.edu/~cshalizi/350/lectures/10/lecture-10.pdf 이번 글에서는 주성분 분석 (Principal Component...

9 minute read

HarDNet(A Low Memory Traffic Network)

deep learning 관련 글 목차 논문 : https://arxiv.org/abs/1909.00948 이 네트워크는 DenseNet을 기반으로 만들어 졌기 때문에...

2 minute read

ASPP(Atrous Spatial Pyramid Pooling)

segmentation 글 목록 참조 : https://towardsdatascience.com/review-deeplabv1-deeplabv2-atrous-convolution-semantic-segmentation-b51c5fbde92d 참조 : https://m.blog.naver.com/laonple/221000648527 참조 : https://arxiv.org/abs/1706.05587 참조 : https://towardsdatascience.com/review-deeplabv3-atrous-convolution-semantic-segmentation-6d818bfd1d74...

11 minute read

DenseNet (Densely connected convolution networks)

deep learning 관련 글 목차 논문 : https://arxiv.org/pdf/1608.06993.pdf 참조 : https://pytorch.org/hub/pytorch_vision_densenet/ 참조 : https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py 참조...

9 minute read

Pytorch Quantization 정리

참조 : https://pytorch.org/docs/stable/quantization.html#torch.nn.intrinsic.ConvBnReLU2d 참조 : https://pytorch.org/blog/introduction-to-quantization-on-pytorch/ 참조 : https://pytorch.org/docs/stable/quantization.html 참조 : https://youtu.be/c3MT2qV5f9w 참조 : https://leimao.github.io/blog/PyTorch-Static-Quantization/...

16 minute read