LayerNormalization layer cannot be imported
Hi, @goruck 

It seems like you're trying to use legacy Keras code which is stale and about to be deleted. we have added warning on [that page](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/python/keras#stop) and The current Keras code lives in [github/keras-team/keras](https://github.com/keras-team/keras).

We have also updated in our `TensorFlow 2.11.0` [release notes](https://github.com/tensorflow/tensorflow/releases#:~:text=tensorflow/python/keras%20code%20is%20a%20legacy%20copy%20of%20Keras%20since%20the%20TensorFlow%20v2.7%20release%2C%20and%20will%20be%20deleted%20in%20the%20v2.12%20release.%20Please%20remove%20any%20import%20of%20tensorflow.python.keras%20and%20use%20the%20public%20API%20with%20from%20tensorflow%20import%20keras%20or%20import%20tensorflow%20as%20tf%3B%20tf.keras.) and you'll find `.py `files in the `normalization` folder after clicking on this [link](https://github.com/keras-team/keras)( keras->layers->normalization) and please use the public API with `from tensorflow import keras` as shown in this [gist file](https://colab.research.google.com/gist/gaikwadrahul8/0bbf4b93862ab9e1410845bc4e94c7d4/-59612.ipynb) and I was able to replicate the issue on `ubuntu 20.04` with `Tensorflow==2.11` and it's importing as expected, I have added screenshot for your reference below:

![image](https://user-images.githubusercontent.com/115997457/217636029-a1e08043-c55f-4d94-9259-7d81a76cd7ff.png)

If issue still persists please let us know? or Could you please confirm if this issue is resolved for you ? Please feel free to close the issue if it is resolved ? Thank you! Hi @gaikwadrahul8, this resolved it perfectly. Thank you so much!
### System information

-   **Have I written custom code (as opposed to using a stock example script
    provided in TensorFlow)**:  No
-   **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**: Ubuntu 20.04.5 LTS
-   **Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue
    happens on a mobile device**: N/A
-   **TensorFlow installed from (source or binary)**: binary
-   **TensorFlow version (use command below)**: v2.11.0-rc2-17-gd5b57ca93e5 2.11.0
-   **Python version**: 3.9.12
-   **Bazel version (if compiling from source)**: N/A
-   **GCC/Compiler version (if compiling from source)**: N/A
-   **CUDA/cuDNN version**: cudatoolkit=11.2 cudnn=8.1.0
-   **GPU model and memory**: RTX 3090, 24 GB
-   **Exact command to reproduce**:

```text
(nilm) lindo@titan:~/Develop/nilm/ml/transformer_model$ python3
Python 3.9.12 (main, Jun  1 2022, 11:38:51) 
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.keras.layers import LayerNormalization
2023-02-08 04:49:08.994050: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-02-08 04:49:09.517674: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/nvvm/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt
2023-02-08 04:49:09.517729: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/nvvm/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt:/home/lindo/anaconda3/envs/nilm/lib/:/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorrt
2023-02-08 04:49:09.517738: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ImportError: cannot import name 'LayerNormalization' from 'tensorflow.python.keras.layers' (/home/lindo/anaconda3/envs/nilm/lib/python3.9/site-packages/tensorflow/python/keras/layers/__init__.py)
>>>
```

### Describe the problem
Describe the problem clearly here. Be sure to convey here why it's a bug in TensorFlow or a feature request.

The [LayerNormalization](https://www.tensorflow.org/api_docs/python/tf/keras/layers/LayerNormalization) layer does not exist, in fact none of the normalization layers are in ```tensorflow/python/keras/layers``` and so cannot be imported in a Python script. I have installed tensorflow using pip in a conda environment as described in the [tensorflow installation documentation](https://www.tensorflow.org/install/pip). The expected behavior is the LayerNormalization layer should exist in the source tree and be importable as Python module. 

### Source code / logs
Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached. Try to provide a reproducible test case that is the bare minimum necessary to generate the problem.

Steps to reproduce.
1. Install tensorflow in a conda environment using pip per the documentation. 
2. Import the LayerNormalization layer.
