Input Layer can't be defined in tensorflow 2.11.0
Try using tf.keras.layers.InputLayer instead. 

You can skip defining the input layer and give the input shape to the first layer and keras will add a input for a model behind the scenes. Hi, @fmanstein 

Apologize for the delayed response and It seems like the issue is with importing layers so May I know how are you importing models or layers, if possible share the documentation link or all the imports which you're using in your code please ? meanwhile could you please try to imports like below, 

```
from tensorflow import keras
from tensorflow.keras import layers
```

Please do it like below in your code :

```
def __init__(self, height, width, channels):
    input_layer = keras.Input(shape=(height, width, channels,))

    ...
```

I have to tried to replicate the same issue on Google Colab and it's working as expected with `Tensorflow==2.11` version here is [gist-file](https://colab.research.google.com/gist/gaikwadrahul8/2a195767d6e77b604a3260999d3e2d05/-59920-test.ipynb) and please refer this [official documentation tutorial ](https://www.tensorflow.org/guide/keras/functional)so could you please try above workaround from your end and let me know whether is it working as expected or not ? Thank you! 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?
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<details><summary>Click to expand!</summary> 
 
 ### Issue Type

Bug

### Have you reproduced the bug with TF nightly?

No

### Source

source

### Tensorflow Version

2.11.0

### Custom Code

Yes

### OS Platform and Distribution

Windows

### Mobile device

_No response_

### Python version

3.9

### Bazel version

_No response_

### GCC/Compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current Behaviour?

```shell
When trying to define an input layer, an error occured.
I expected it to work just like in the documentation.
Downgrading to Tensorflow 2.10.0 solved the problem
```


### Standalone code to reproduce the issue

```shell
def __init__(self, height, width, channels):
    input_layer = tf.keras.layers.Input(shape=(height, width, channels,))

    ...
```


### Relevant log output

```shell
Traceback (most recent call last):
  File "C:\Users\Noocoon\PycharmProjects\instanceSegmentation\src\center_mask\Unet.py", line 50, in <module>
    unet = Unet(128, 128, 3)
  File "C:\Users\Noocoon\PycharmProjects\instanceSegmentation\src\center_mask\Unet.py", line 28, in __init__
    self.input = tf.keras.layers.Input((height, width, channels, ))
  File "C:\Users\Noocoon\PycharmProjects\instanceSegmentation\venv\lib\site-packages\keras\utils\traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\Users\Noocoon\PycharmProjects\instanceSegmentation\venv\lib\site-packages\keras\engine\input_layer.py", line 442, in Input
    outputs = input_layer._inbound_nodes[0].output
AttributeError: 'Node' object has no attribute 'output'
```
</details>