Update tf2_image_retraining.ipynb #2339

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guidoiaquinti wants to merge 1 commit into tensorflow:master

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Update tf2_image_retraining.ipynb #2339

guidoiaquinti wants to merge 1 commit into tensorflow:master from guidoiaquinti:master

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guidoiaquinti

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@guidoiaquinti guidoiaquinti commented Nov 10, 2024

Hi 👋

While working through the tutorials, I ran into an hiccup with tf2_image_retraining.ipynb:

/usr/local/lib/python3.10/dist-packages/keras/src/layers/core/input_layer.py:26: UserWarning: Argument `input_shape` is deprecated. Use `shape` instead.
 warnings.warn(
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
[<ipython-input-3-4ec403fe43da>](https://localhost:8080/#) in <cell line: 170>()
 168 
 169 print("Building model with", model_handle)
--> 170 model = tf.keras.Sequential([
 171 # Explicitly define the input shape so the model can be properly
 172 # loaded by the TFLiteConverter
1 frames
[/usr/local/lib/python3.10/dist-packages/keras/src/models/sequential.py](https://localhost:8080/#) in __init__(self, layers, trainable, name)
 71 if layers:
 72 for layer in layers:
---> 73 self.add(layer, rebuild=False)
 74 self._maybe_rebuild()
 75 
[/usr/local/lib/python3.10/dist-packages/keras/src/models/sequential.py](https://localhost:8080/#) in add(self, layer, rebuild)
 93 layer = origin_layer
 94 if not isinstance(layer, Layer):
---> 95 raise ValueError(
 96 "Only instances of `keras.Layer` can be "
 97 f"added to a Sequential model. Received: {layer} "
ValueError: Only instances of `keras.Layer` can be added to a Sequential model. Received: <tensorflow_hub.keras_layer.KerasLayer object at 0x7823dd59b7f0> (of type <class 'tensorflow_hub.keras_layer.KerasLayer'>)

The code change fixes the ValueError, as well as the deprecation warning.

Thanks for all the amazing work on these tutorials! 😊

@guidoiaquinti


 Update tf2_image_retraining.ipynb

16b0b0e

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github-actions bot commented Nov 10, 2024

Preview

Preview and run these notebook edits with Google Colab:

site/en/hub/tutorials/tf2_image_retraining.ipynb

Rendered notebook diffs available on ReviewNB.com.

Format and style

Use the TensorFlow docs notebook tools to format for consistent source diffs and lint for style:

$ python3 -m pip install -U --user git+https://github.com/tensorflow/docs

$ python3 -m tensorflow_docs.tools.nbfmt notebook.ipynb

$ python3 -m tensorflow_docs.tools.nblint --arg=repo:tensorflow/docs notebook.ipynb

If commits are added to the pull request, synchronize your local branch: git pull origin master