Update text_classification.ipynb

[AnasNeumann]

This line was a mistake and probably comes from this page: https://www.tensorflow.org/text/guide/word_embeddings (the model is almost the same except for the Dense(16, activation='relu') layer).

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

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[AnasNeumann]

If I'm not mistaken and the "fully-connected Dense layer" is missing, another possible correction could be to update the model and fit the description:

model = tf.keras.Sequential([
  layers.Embedding(max_features + 1, embedding_dim),
  layers.Dropout(0.2),
  layers.GlobalAveragePooling1D(),
  layers.Dense(16, activation='relu'),
  layers.Dropout(0.2),
  layers.Dense(1)])

[8bitmp3]

Thanks @AnasNeumann ! @MarkDaoust What are you thoughts?

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Preview

Preview and run these notebook edits with Google Colab:

• site/en/guide/function.ipynb
• site/en/tutorials/keras/text_classification.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 patch-1