论文：accurate ,large minibatch SGD：Training ImageNet in 1 Hour

时间 2020-12-20

标签机器学习论文解读繁體版

原文原文链接

目录 1. learning rates for large minibatches： 2. warmup 3 Subtleties and Pitfalls of Distributed SGD 4. Main Results and Analysis https://blog.csdn.net/xxiaozr/article/details/80346381 https://www.jian

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1. 论文：accurate ,large minibatch SGD：Training ImageNet in 1 Hour
2. 【模型性能2-泛化产生】Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
3. Accurate, Large Minibatch SGD
4. 【转】Code Your Own PHP MVC Framework in 1 Hour
5. caffe在ImageNet数据集上训练残差网络Resnet
6. ImageNet Large Scale Visual Recognition Challenge
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8. 【论文阅读笔记】Towards Accurate Multi-person Pose Estimation in the Wild
9. ImageNet Evolution论文笔记（4）
10. 论文笔记：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
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1. 论文：accurate ,large minibatch SGD：Training ImageNet in 1 Hour
2. 【模型性能2-泛化产生】Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
3. Accurate, Large Minibatch SGD
4. 【转】Code Your Own PHP MVC Framework in 1 Hour
5. caffe在ImageNet数据集上训练残差网络Resnet
6. ImageNet Large Scale Visual Recognition Challenge
7. 论文笔记：Towards accurate multi-person pose estimation in the wild（G-RMI）
8. 【论文阅读笔记】Towards Accurate Multi-person Pose Estimation in the Wild
9. ImageNet Evolution论文笔记（4）
10. 论文笔记：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels

>>更多相关文章<<