Image pull back off
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Models are trained successfully.Deployment feels rushed.Problems surface late.The team loses momentum.
I am training a convolutional neural network on a custom image dataset using PyTorch.For the first few batches the loss looks normal, but suddenly it becomes NaN and never recovers.There are no crashes or stack traces, only the ...
Response technically happens, but not within required timeframes.There’s no single obvious blocker.I’m trying to understand what usually causes these delays.
Training data looks correct.Live predictions use the same features by name.Yet values don’t match expectations. This undermines trust in the system?
