V-Training Service is active now??
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I uploaded files to the V-Training service but it seems not running....
Currently Task No.6(2020/12/29) is mine,
but task No.1 which was uploaded in 2020/12/24 still remaining.Anyone can help please?
Thank you.
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@nabeshin said in V-Training Service is active now??:
Hi, we are aware of that and working to fix it ASAP.
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Thank you.
This is not serious at all.
I will try it again in next year.Have nice holidays!!!
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@Zontex
Now I can upload files. But Training always fails with this error.CONTENT: Unexpected Error Found During Triaining, A target array with shape (128, 6) was passed for an output of shape (None, 7) while using as loss
categorical_crossentropy
. This loss expects targets to have the same shape as the output.I uploaded following data.
- 6 classes training data
- Each class has 90 files(85 files in
train
folder. 5 + 1 files in eachvalid
folder)- At first, using the result folder created by
UnitV_boot_v1220.py
, I got Error:Lake of Enough Valid Dataset, Only 30 pictures found, but you need 35 in total.
- Maybe
Lake of
is typo ofLack of
I think. - So I moved 1 file manually from
train
folder tovalid
folder for each class.(Then I made 5 + 1 files in eachvalid
folder.(Total 36 invalid
folder) - Then that goes fine.
- At first, using the result folder created by
- But now I got that error about
categorical_crossentropy
.- I tried several cases and got same kind of error.
- For 6 class case:
A target array with shape (128, 6) was passed for an output of shape (None, 7)
- For 4 class case:
A target array with shape (64, 4) was passed for an output of shape (None, 5)
I'm not sure but I think it's because,
- At
model.add(Dense(X))
script,X
should be the same number of uploaded class folders of each request. - But maybe it is over counted from exact one in your script.
Do you have any idea for fix it?
Regards.
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@Zontex
Hi, I tried again now but It seems like still having problems...Can I build same environment in my computer?
What should I install for this machine learning?If you can point the GitHub URL, Please let me help.
Regards.
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Hi, Now I got one solution by myself.
We can build a private environment of K210 machine learning on Goggle colaboratory.
Of course we can share.I wrote an article here.
This can be used as an another way of V-Training for M5StickV and M5UnitV.Qiita
Goggle colaboratory
Thank you.