trainnet gives training loss is NaN
Hello, I’m currently working on semantic segmentation with Unet architecture on matlab. As version R2024a, I tried to train my model with the trainnet command. But after I ran my script, it gives me this result in Command Window.
I tried to change the MiniBatchSize and MaxEpoch but none seem to be working, it seemed like the training never happened because my GPU doesn’t seem to have any activity. Does anyone know how to resolve this? Is Matlab R2024a still buggy so this happens?Hello, I’m currently working on semantic segmentation with Unet architecture on matlab. As version R2024a, I tried to train my model with the trainnet command. But after I ran my script, it gives me this result in Command Window.
I tried to change the MiniBatchSize and MaxEpoch but none seem to be working, it seemed like the training never happened because my GPU doesn’t seem to have any activity. Does anyone know how to resolve this? Is Matlab R2024a still buggy so this happens? Hello, I’m currently working on semantic segmentation with Unet architecture on matlab. As version R2024a, I tried to train my model with the trainnet command. But after I ran my script, it gives me this result in Command Window.
I tried to change the MiniBatchSize and MaxEpoch but none seem to be working, it seemed like the training never happened because my GPU doesn’t seem to have any activity. Does anyone know how to resolve this? Is Matlab R2024a still buggy so this happens? deep learning MATLAB Answers — New Questions