dotnet / dotnet/machinelearning-samples
Strange Issues with Image Classification Transfer Learning Sample
- Lingua principale
- PowerShell
- Stelle
- 4.7k
- Fork
- 2.7k
- Merge medio
- 2g 22h
- PR unite (30g)
- 1
Descrizione
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:
Guida per i contributori
Apri la guida per i contributori
Valutazione
Questa issue non è ancora stata valutata.