Basic regression: Predict fuel efficiency Probelm

[illaoiiiii]

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

The code after this segment is not running. But i use ChatGPT to fix it .and the right code below

i think this is a easy problem and i hope official can fix it.

Standalone code to reproduce the issue

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

Relevant log output

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).

[tilakrayal]

@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. Thank you!

[illaoiiiii]

@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

[tilakrayal]

@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!

[CoderJustin8925]

Hello :)

[github-actions]

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.