This repository will test the classification accuracy of different neural networks trained in the same manner on the CIFAR-10 and MNIST datasets. 论文中模型为了达到SOTA水平存在许多训练tricks, 为了快速评估一类模型是否适合您的任务, 我们定义了一种标准训练函数：相同的优化器、相同的学习率策略、相同的数据增强、相同的batch_size、不使用预训练......ALL FACTORS IS THE SAME. 你可以用这个训练函数训练您的模型，测试您的架构与主流模型在准确率上的差异，以便观察您的模型是否存在达到SOTA的可能。 更多常见模型和它们的准确率正在施工中！ 后续训练得到的常见模型的最好权重参数将上传至百度云，以便国内学者使用。如果您访问百度云有困难，请联系我[email protected]
-
Notifications
You must be signed in to change notification settings - Fork 0
This repository will test the classification accuracy of different neural networks trained in the same manner on the CIFAR-10 and MNIST datasets.
License
tuningManBin/CNNs-ViTs-Tutorial-for-Beginners
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This repository will test the classification accuracy of different neural networks trained in the same manner on the CIFAR-10 and MNIST datasets.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published