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This is a regression problem, I think that's why we only can get a loss for the problem.
NOTE: You can add the following line :-
model.compile(optimizer=sgd,loss=ssd_loss.compute_loss, metrics=[tf.keras.metrics.Accuracy()])
But you will get accuracy as "00+e00".(because it's a regression problem.)
How to calculate accuracy during training?
I tried the below in the code in ssd7_training.ipynb file and didn't work. Any help would be awesome!
model.compile(optimizer=adam, loss=ssd_loss.compute_loss, metrics=['accuracy'])
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