training stops due to NaN loss value

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Shoaib Ali
Shoaib Ali 2022-8-22
评论： Shoaib Ali 2022-8-26
The training process stops due NaN loss... How to avoid this to complete the training ..and what is the possible issue that causses..
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Chunru
Chunru 2022-8-23
try "dbstop error" and then run the program. Check if the network output is 0. There might be a problem if network output is 0 since entropy loss has term of T*log(Y) where T is target and Y is the network output.

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Shoaib Ali
Shoaib Ali 2022-8-24
Can you explain, where to use this inside the loss funtion or before the training command??
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Chunru
Chunru 2022-8-25
"dbstop error" can be used in command line before you train the network. Then it should stop when error occurs and then you check out what is wrong at which part of program.

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