optimizer attribute learning_rate

[mahsanghani]

model.optimizer.learning_rate.numpy()

to avoid Adam attribute error for "lr"

AttributeError: 'Adam' object has no attribute 'lr'

[github-actions]

Preview

Preview and run these notebook edits with Google Colab:

• site/en/guide/core/logistic_regression_core.ipynb
• site/en/guide/core/quickstart_core.ipynb
• site/en/guide/ragged_tensor.ipynb
• site/en/guide/sparse_tensor.ipynb
• site/en/guide/tensor.ipynb
• site/en/guide/tpu.ipynb
• site/en/install/lang_c.ipynb
• site/en/tutorials/distribute/keras.ipynb
• site/en/tutorials/generative/pix2pix.ipynb
• site/en/tutorials/images/classification.ipynb
• site/en/tutorials/images/transfer_learning.ipynb
• site/en/tutorials/keras/text_classification.ipynb
• site/en/tutorials/load_data/pandas_dataframe.ipynb
• site/en/tutorials/load_data/video.ipynb
• site/en/tutorials/structured_data/imbalanced_data.ipynb
• site/en/tutorials/structured_data/preprocessing_layers.ipynb

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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-3

[MarkDaoust]

Merged into #2327