..........................................after this it gives the following #error......................................................................
ValueError Traceback (most recent call last)
<ipython-input-31-e77e0b516cea> in <module>()
74 model.compile(
75 optimizer=opt, loss={
---> 76 'yolo_loss': lambda y_true, y_pred: y_pred
77 })
78
~\AppData\Local\Continuum\anaconda3\envs\tensorflow\lib\site-packages\keras\engine\training.py in compile(self, optimizer, loss, metrics, loss_weights, sample_weight_mode, weighted_metrics, target_tensors, **kwargs)
602 """
603 loss = loss or {}
--> 604 self.optimizer = optimizers.get(optimizer)
605 self.loss = loss
606 self.loss_weights = loss_weights
~\AppData\Local\Continuum\anaconda3\envs\tensorflow\lib\site-packages\keras\optimizers.py in get(identifier)
766 else:
767 raise ValueError('Could not interpret optimizer identifier: ' +
--> 768 str(identifier))
ValueError: Could not interpret optimizer identifier: <tensorflow.python.keras._impl.keras.optimizers.Adam object at 0x00000000151F8588>
I am trying to implement the retrain_yolo.py in Jupyter notebook. Below contains the part of program which is straight forward:
..........................................after this it gives the following #error......................................................................