エラーの解決 InvalidArgumentError: Can not squeeze dim[1], expected a dimension of 1, got

報告されたエラーは解決されました。InvalidArgumentError: Can not squeeze dim[1], expected a dimension of 1, got.

```python
Traceback (most recent call last):

  File "C:\Users\peter\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 786, in runfile
    execfile(filename, namespace)

  File "C:\Users\peter\Anaconda3\lib\site-packages\spyder_kernels\customize\spydercustomize.py", line 110, in execfile
    exec(compile(f.read(), filename, 'exec'), namespace)

    callbacks = [cp_callback]) # pass callback to training

  File "C:\Users\peter\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training.py", line 880, in fit
    validation_steps=validation_steps)

  File "C:\Users\peter\Anaconda3\lib\site-packages\tensorflow\python\keras\engine\training_arrays.py", line 329, in model_ iteration
    batch_outs = f(ins_batch)

  File "C:\Users\peter\Anaconda3\lib\site-packages\tensorflow\python\keras\backend.py", line 3076, in __call__
    run_metadata=self.run_metadata)

  File "C:\Users\peter\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1439, in __call__
    run_metadata_ptr)

  File "C:\Users\peter\Anaconda3\lib\site-packages\tensorflow\python\framework\errors_impl.py", line 528, in __exit__
    c_api.TF_GetCode(self.status.status))

InvalidArgumentError: Can not squeeze dim[1], expected a dimension of 1, got 101
	 [[{
{node metrics/acc/Squeeze}}]]
	 [[{
{node loss/dense_loss/broadcast_weights/assert_broadcastable/is_valid_shape/has_valid_nonscalar_shape/has_invalid_dims/concat}}]]

The loss function in tensorflow is misspelled and replaced with SparseCategoricalCrossentropy

```python
model.compile(optimizer='adam',
              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=False),
              metrics=['sparse_categorical_accuracy'])

from_logits=Falseは、ソフトマックス関数などで活性化されたことを意味する