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I was following this guide from C# to build a image classification model. Everything works well until i see that it is only utilizing cpu to train but i wanted to train on gpu how can i do ? i had a database of near 1.8gb and it took 3 hours to train which is really long https://learn.microsoft.com/en-us/samples/dotnet/machinelearning-samples/mlnet-image-classification-transfer-learning/
How can i make it use gpu instead? script from github: https://learn.microsoft.com/en-us/samples/dotnet/machinelearning-samples/mlnet-image-classification-transfer-learning/
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I was following this guide from C# to build a image classification model.
Everything works well until i see that it is only utilizing cpu to train but i wanted to train on gpu how can i do ?
i had a database of near 1.8gb and it took 3 hours to train which is really long
https://learn.microsoft.com/en-us/samples/dotnet/machinelearning-samples/mlnet-image-classification-transfer-learning/
How can i make it use gpu instead?
script from github:
https://learn.microsoft.com/en-us/samples/dotnet/machinelearning-samples/mlnet-image-classification-transfer-learning/
The text was updated successfully, but these errors were encountered: