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understanding tflearn loss vs tensorflow loss function

well i have followed all your tutorials and have realized that the epoch loss you defined in the convolutional neural network in tensorflow(raw) is different from what tflearn outputs on the same dataset. on tensorflow loss is in thousands while on tflearn is  decimals.
why is it so can you please explain.

and well thanks for these awesome tutorials