C2W4_Assignment Error

Course Q&A TensorFlow Developer Professional Convolutional Neural Networks in TensorFlow
1

I m not sure why I am getting the following error (the generator shapes match the expected shapes):

ValueError                                Traceback (most recent call last)
<ipython-input-37-b02ccbf8b5af> in <cell line: 5>()
      3 
      4 # Train your model
----> 5 history = model.fit(train_generator,
      6                     epochs=15,
      7                     validation_data=validation_generator)

1 frames
/usr/local/lib/python3.10/dist-packages/keras/engine/training.py in tf__train_function(iterator)
     13                 try:
     14                     do_return = True
---> 15                     retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
     16                 except:
     17                     do_return = False

ValueError: in user code:

    File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1284, in train_function  *
        return step_function(self, iterator)
    File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1268, in step_function  **
        outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1249, in run_step  **
        outputs = model.train_step(data)
    File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1051, in train_step
        loss = self.compute_loss(x, y, y_pred, sample_weight)
    File "/usr/local/lib/python3.10/dist-packages/keras/engine/training.py", line 1109, in compute_loss
        return self.compiled_loss(
    File "/usr/local/lib/python3.10/dist-packages/keras/engine/compile_utils.py", line 265, in __call__
        loss_value = loss_obj(y_t, y_p, sample_weight=sw)
    File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 142, in __call__
        losses = call_fn(y_true, y_pred)
    File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 268, in call  **
        return ag_fn(y_true, y_pred, **self._fn_kwargs)
    File "/usr/local/lib/python3.10/dist-packages/keras/losses.py", line 1984, in categorical_crossentropy
        return backend.categorical_crossentropy(
    File "/usr/local/lib/python3.10/dist-packages/keras/backend.py", line 5559, in categorical_crossentropy
        target.shape.assert_is_compatible_with(output.shape)

    ValueError: Shapes (None, 1) and (None, 26) are incompatible

Please advise how to fix. I cannot finish assignment with this error.

2

Which course are you attending?
You posted in the General Discussions forum, which isn’t associated with any specific course.

3

I am taking Convolutional Neural Networks in TensorFlow. I realized what I was missing. I didn’t one-hot encode the labels.

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