Kaiming He. Research Scientist at Facebook AI Research. FacebookTsinghua University. Menlo Park, California, United States34 connections. ... <看更多>
「kaiming he」的推薦目錄：
- 關於kaiming he 在 Kaiming He KaimingHe - GitHub 的評價
- 關於kaiming he 在 Kaiming He - Research Scientist - Facebook | LinkedIn 的評價
- 關於kaiming he 在 Kaiming He's research works | Facebook, California and other ... 的評價
- 關於kaiming he 在 Kaiming He | Facebook 的評價
- 關於kaiming he 在 Detectron - Facebook Research 的評價
- 關於kaiming he 在 Kaiming he initialization for convolution layers - Stack Overflow 的評價
- 關於kaiming he 在 CS 294-131 Special Topics in Deep Learning Fall 2016 的評價
- 關於kaiming he 在 What is the analytical formula for `Kaiming He` probability ... 的評價
kaiming he 在 Kaiming He's research works | Facebook, California and other ... 的推薦與評價
Kaiming He's 108 research works with 240686 citations and 130027 reads, including: Masked Autoencoders Are Scalable Vision Learners. ... <看更多>
kaiming he 在 Kaiming He | Facebook 的推薦與評價
Kaiming He 也在使用Facebook。加入Facebook，與Kaiming He 及其他你可能認識的朋友聯絡。Facebook 讓人們盡情分享，將這個世界變得更開闊、聯絡更緊密。 ... <看更多>
kaiming he 在 Detectron - Facebook Research 的推薦與評價
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick. IEEE International Conference on Computer Vision (ICCV), 2017. Focal Loss for Dense Object ... ... <看更多>
kaiming he 在 CS 294-131 Special Topics in Deep Learning Fall 2016 的推薦與評價
Bio: Dr. Kaiming He is a Research Scientist at Facebook AI Research (FAIR) as of August 2016. Before that, he was a Lead Researcher at Microsoft Research ... ... <看更多>
kaiming he 在 What is the analytical formula for `Kaiming He` probability ... 的推薦與評價
Uniform Kaiming He probability distribution function is used for initialization of weights in Convolutional neural networks in PyTorch and ... ... <看更多>
kaiming he 在 Kaiming He KaimingHe - GitHub 的推薦與評價
Research Scientist at FAIR. KaimingHe has 3 repositories available. Follow their code on GitHub. ... <看更多>