dotnet / dotnet/machinelearning-samples
Strange Issues with Image Classification Transfer Learning Sample
- 主要語言
- PowerShell
- 星號
- 4.7k
- 分支
- 2.7k
- 平均合併
- 2 天 22 小時
- 30 天內合併 PR
- 1
描述
Seems the training is not running so well. The accuracy even after 500 epochs is way too low. I also tried the full 3600 images data set but not much better, so I have a feeling there’s something wrong here.
I just cloned the repo and got these very low accuracy results with VS 2019 with .NET Core 2.1 or 3.0.
Is anyone else seeing that with the sample or is it just me and maybe my machine config?
https://github.com/dotnet/machinelearning-samples/tree/master/samples/csharp/getting-started/DeepLearning_ImageClassification_Training
See the super low accuracy here:

I’ve also tried InceptionV3 instead of ResNetv2101 as architecture but that raises an ArgumentOutOfTRangeException:

貢獻指南
評估
這個 Issue 還沒有評估資料。