I have the same Error, that is why my work was graded 75/100. Will you explain me the same issue?
All tests passed for train_val_generators!
All tests passed for create_pre_trained_model!
All tests passed for output_of_last_layer!
Details of failed tests for create_final_model
Failed test case: your model could not be used for inference. Details shown in ‘got’ value below:.
Expected:
no exceptions,
but got:
in user code:
File "/opt/conda/lib/python3.7/site-packages/keras/engine/training.py", line 1366, in test_function *
return step_function(self, iterator)
File "/opt/conda/lib/python3.7/site-packages/keras/engine/training.py", line 1356, in step_function **
outputs = model.distribute_strategy.run(run_step, args=(data,))
File "/opt/conda/lib/python3.7/site-packages/keras/engine/training.py", line 1349, in run_step **
outputs = model.test_step(data)
File "/opt/conda/lib/python3.7/site-packages/keras/engine/training.py", line 1306, in test_step
y, y_pred, sample_weight, regularization_losses=self.losses)
File "/opt/conda/lib/python3.7/site-packages/keras/engine/compile_utils.py", line 201, in __call__
loss_value = loss_obj(y_t, y_p, sample_weight=sw)
File "/opt/conda/lib/python3.7/site-packages/keras/losses.py", line 141, in __call__
losses = call_fn(y_true, y_pred)
File "/opt/conda/lib/python3.7/site-packages/keras/losses.py", line 245, in call **
return ag_fn(y_true, y_pred, **self._fn_kwargs)
File "/opt/conda/lib/python3.7/site-packages/keras/losses.py", line 1807, in binary_crossentropy
backend.binary_crossentropy(y_true, y_pred, from_logits=from_logits),
File "/opt/conda/lib/python3.7/site-packages/keras/backend.py", line 5158, in binary_crossentropy
return tf.nn.sigmoid_cross_entropy_with_logits(labels=target, logits=output)
ValueError: `logits` and `labels` must have the same shape, received ((None, 2) vs (None, 1)).
.