tensorflow / tensorflow/models
How to distinguish training vs validation loss from tensorboard
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@pkulzc is already working on this.
Since May 12, 2020.
models:research
type:support
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- Python
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Description
When use the" tensorflow object detection api "to training a detection model, and use the recommended directory structure to run tensorboard,command line is tensorboard --logdir=${MODEL_DIR}.
it's output is this image:it have many loss function. Are these loss from training or validation process? If these are from training process only, how to check validation loss using tensorboard?

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