机器学习
lab1:车辆图像分类
简书链接: 【pytorch】利用resnet50进行汽车图像分类
(由于图片集过大,故未将全部图片上传)
全部图片集已存放至百度网盘: 链接:https://pan.baidu.com/s/1hbd7RR11yuCAnxDrhA6Log 提取码:ll75
机器学习
机器学习
lab1:车辆图像分类
简书链接: 【pytorch】利用resnet50进行汽车图像分类
(由于图片集过大,故未将全部图片上传)
全部图片集已存放至百度网盘: 链接:https://pan.baidu.com/s/1hbd7RR11yuCAnxDrhA6Log 提取码:ll75
大老,训练后怎么做识别? 有识别的例子吗?
你好,感谢你的开源,请问一下就是关于你的训练文件有个问题,就是在gpu上训练的还是在cpu上训练的,我在gpu上训练会报错Input type (torch.cuda.FloatTensor) and weight type (torch.FloatTensor) should be the same
请问为啥训练好的权重保存下来只有几kb呢?
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