Transfer learning and fine-tuning doc seems to have unexpected results
### Issue type

Documentation Bug

### Have you reproduced the bug with TensorFlow Nightly?

No

### Source

source

### TensorFlow version

latest

### Custom code

No

### OS platform and distribution

_No response_

### Mobile device

_No response_

### Python version

_No response_

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

The python documentation notebook at https://github.com/tensorflow/docs/blob/master/site/en/tutorials/images/transfer_learning.ipynb outputs unexpected results.
As the tutorial explains how to fine-tune a model to differentiate cats and dogs, the resulting output fails and always detect dogs, no matter the pet.

Here's a screenshot directly taken at https://www.tensorflow.org/tutorials/images/transfer_learning :
![image](https://github.com/tensorflow/tensorflow/assets/43111342/05085828-5f4e-4098-97b2-55e75dbb1489)

One would expect that the result is a correct detection of cats and dogs.

### Standalone code to reproduce the issue

```shell
Just take a look at https://www.tensorflow.org/tutorials/images/transfer_learning.
Also ran the notebook on Google Colab, got the same output.
```


### Relevant log output

_No response_