Basic regression: Predict fuel efficiency Probelm
@illaoiiiii,
As you mentioned the document regression.ipynb is failing with the tensorflow v2.15. But when I tried to execute the same official document with the latest tensorflow stable version 2.16, the code was executed without any issue/error. Kindly find the gist of it [here](https://colab.research.google.com/gist/tilakrayal/4729cef28ae6e88de02c82f0645e1b7f/regression.ipynb). Thank you! @tilakrayal 
i just obey the tutorial and i use the colab , colab automatically instal the v2.15,I am learning the TensorFlow framework,maybe is not a very serious bug or problem @illaoiiiii,
Yeah, It is not a bug and moreover the official docs will be upgraded to the latest stable version in upcoming days. As this issue is resolved in tensorflow v2.16, could you please feel free to move this issue to closed status. Thank you! Hello :) This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. Are you satisfied with the resolution of your issue?
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=Yes&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/66057">Yes</a>
<a href="https://docs.google.com/forms/d/e/1FAIpQLSfaP12TRhd9xSxjXZjcZFNXPGk4kc1-qMdv3gc6bEP90vY1ew/viewform?entry.85265664=No&entry.2137816233=https://github.com/tensorflow/tensorflow/issues/66057">No</a>

### Issue type

Documentation Bug

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

No

### Source

source

### TensorFlow version

2.15.0

### Custom code

Yes

### OS platform and distribution

google colab

### 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?

In the tutorial beginner part Regression part ,the document have some problem shows like below
![image](https://github.com/tensorflow/tensorflow/assets/73126812/6d29a751-bda1-43a4-95f3-128ac4b90682)
The code after this segment is not running. But i use ChatGPT to fix it .and the right code below
![image](https://github.com/tensorflow/tensorflow/assets/73126812/5e186f3a-1e66-4e00-8aaf-4a15d7843e04)
i think this is a easy problem and i hope official can fix it.


### Standalone code to reproduce the issue

```shell
the url is below
https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/tutorials/keras/regression.ipynb
```


### Relevant log output

```shell
the bug log is below
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-16-87f1bea74834> in <cell line: 1>()
----> 1 normalizer.adapt(np.array(train_features))

11 frames
/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
    101       dtype = dtypes.as_dtype(dtype).as_datatype_enum
    102   ctx.ensure_initialized()
--> 103   return ops.EagerTensor(value, ctx.device_name, dtype)
    104 
    105 

ValueError: Failed to convert a NumPy array to a Tensor (Unsupported object type int).
```
