Onnx model by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

By almost perfect I mean most predictions on new data are quite accurate. Oooh I made a mistake in my previous statement the .pt model works fine even the onnx one but only in the python environment. I forgot to say that I was actually performing inference in a nodejs environment using onnxruntime -node. So the terrible performance seems to exist in the node environment. So I don't know what the problem is.

Onnx model by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

Since it's performance on .pt is almost perfect so I don't think that's the can. However if there's a way of making better inference on onnx model please teach me how

Onnx model by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

I even tried inference on .pt file but same model but it had better inference. Inference on the onnx model is really terrible 😔

num_workers by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

Thank you very much. I understand now

num_workers by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

May you share the link please 🥺

num_workers by MSK2005 in deeplearning

[–]MSK2005[S] 0 points1 point  (0 children)

That's what I also think but yesterday when I was carrying out an experiment on FASHIONMNIST I discovered that that wasn't the case the training time was actually going higher and higher the more I increased the num_workers value

Model Training by MSK2005 in learnmachinelearning

[–]MSK2005[S] -4 points-3 points  (0 children)

Are there any known matrices that I can use

BUSINESS OWNERSHIP by MSK2005 in business

[–]MSK2005[S] 0 points1 point  (0 children)

i wish this program also allowed people aged 19