Related Issues (20)
- 佬,我用你的vgg11网络进行分类,为什么训练集比验证集loss要高呢?而且我对vgg11轻量化后,训练集loss也高
- 大佬,我在Ubuntu上跑训练的时候报这个错误一直找不到解决方法能帮我看看吗 HOT 2
- 导师 分类的pytorch这个版本是没有tensorboard的log吗,如果想再tensorboard记录学习率和acc曲线的话,需要在哪里添加代码的
- 您好,请问dataloader中对验证集数据先resize再center_crop的目的是什么呢? HOT 2
- 您好,对于训练好的模型 可以增量训练吗?再加类别,加样本 训练可以吗?
- 您好,我用的mobilenetv2 训练分类模型,准确率收敛速度极慢,我应该如何优化
- 您好!我最近使用您更新后的代码,发现训练模型的时间变慢了,这是什么原因啊?期待您的回复,谢谢! HOT 4
- 运行eval.py出现错误:ValueError: Axis limits cannot be NaN or Inf HOT 1
- 请问您公开的模型文件是官方公开的模型吗? HOT 1
- 你好,这个任务修改之后可以完成多标签多类别 分类的任务吗 HOT 4
- 您好,请问一下是否可以给出更多的CNN,期待您的回复!
- 为什么验证精度比训练精度高? HOT 9
- Google Drive预训练权重
- Vit预训练权重
- 为什么dataloader中没有标签的onehot编码? HOT 1
- 【错误解决方案】ModuleNotFoundError: No module named ‘torchvision.models.utils‘
- 报错RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling cublasSgemm
- 使用vit进行预测的问题
- 从0开始训练的效果差
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from classification-pytorch.