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• site/es-419/addons/tutorials/average_optimizers_callback.ipynb
• site/es-419/datasets/cli.ipynb
• site/es-419/datasets/overview.ipynb
• site/es-419/federated/tutorials/custom_federated_algorithm_with_tff_optimizers.ipynb
• site/es-419/federated/tutorials/custom_federated_algorithms_1.ipynb
• site/es-419/federated/tutorials/custom_federated_algorithms_2.ipynb
• site/es-419/federated/tutorials/federated_learning_for_image_classification.ipynb
• site/es-419/federated/tutorials/federated_learning_with_differential_privacy.ipynb
• site/es-419/federated/tutorials/federated_reconstruction_for_matrix_factorization.ipynb
• site/es-419/federated/tutorials/federated_select.ipynb
• site/es-419/federated/tutorials/private_heavy_hitters.ipynb
• site/es-419/federated/tutorials/random_noise_generation.ipynb
• site/es-419/federated/tutorials/simulations.ipynb
• site/es-419/federated/tutorials/simulations_with_accelerators.ipynb
• site/es-419/federated/tutorials/sparse_federated_learning.ipynb
• site/es-419/federated/tutorials/tff_for_federated_learning_research_compression.ipynb
• site/es-419/federated/tutorials/tuning_recommended_aggregators.ipynb
• site/es-419/federated/tutorials/working_with_client_data.ipynb
• site/es-419/guide/core/distribution.ipynb
• site/es-419/guide/core/logistic_regression_core.ipynb
• site/es-419/guide/core/matrix_core.ipynb
• site/es-419/guide/core/mlp_core.ipynb
• site/es-419/guide/core/quickstart_core.ipynb
• site/es-419/guide/jax2tf.ipynb
• site/es-419/guide/mixed_precision.ipynb
• site/es-419/guide/tensor.ipynb
• site/es-419/guide/tpu.ipynb
• site/es-419/hub/tutorials/action_recognition_with_tf_hub.ipynb
• site/es-419/hub/tutorials/bangla_article_classifier.ipynb
• site/es-419/hub/tutorials/bert_experts.ipynb
• site/es-419/hub/tutorials/bigbigan_with_tf_hub.ipynb
• site/es-419/hub/tutorials/biggan_generation_with_tf_hub.ipynb
• site/es-419/hub/tutorials/boundless.ipynb
• site/es-419/hub/tutorials/cord_19_embeddings.ipynb
• site/es-419/hub/tutorials/cord_19_embeddings_keras.ipynb
• site/es-419/hub/tutorials/cropnet_cassava.ipynb
• site/es-419/hub/tutorials/cropnet_on_device.ipynb
• site/es-419/hub/tutorials/cross_lingual_similarity_with_tf_hub_multilingual_universal_encoder.ipynb
• site/es-419/hub/tutorials/hrnet_semantic_segmentation.ipynb
• site/es-419/hub/tutorials/image_classification.ipynb
• site/es-419/hub/tutorials/image_enhancing.ipynb
• site/es-419/hub/tutorials/image_feature_vector.ipynb
• site/es-419/hub/tutorials/movenet.ipynb
• site/es-419/hub/tutorials/movinet.ipynb
• site/es-419/hub/tutorials/object_detection.ipynb
• site/es-419/hub/tutorials/retrieval_with_tf_hub_universal_encoder_qa.ipynb
• site/es-419/hub/tutorials/s3gan_generation_with_tf_hub.ipynb
• site/es-419/hub/tutorials/semantic_approximate_nearest_neighbors.ipynb
• site/es-419/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder.ipynb
• site/es-419/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb
• site/es-419/hub/tutorials/senteval_for_universal_sentence_encoder_cmlm.ipynb
• site/es-419/hub/tutorials/spice.ipynb
• site/es-419/hub/tutorials/text_classification_with_tf_hub_on_kaggle.ipynb
• site/es-419/hub/tutorials/text_to_video_retrieval_with_s3d_milnce.ipynb
• site/es-419/hub/tutorials/tf2_arbitrary_image_stylization.ipynb
• site/es-419/hub/tutorials/tf2_image_retraining.ipynb
• site/es-419/hub/tutorials/tf2_object_detection.ipynb
• site/es-419/hub/tutorials/tf2_semantic_approximate_nearest_neighbors.ipynb
• site/es-419/hub/tutorials/tf2_text_classification.ipynb
• site/es-419/hub/tutorials/tf_hub_delf_module.ipynb
• site/es-419/hub/tutorials/tf_hub_film_example.ipynb
• site/es-419/hub/tutorials/tf_hub_generative_image_module.ipynb
• site/es-419/hub/tutorials/tweening_conv3d.ipynb
• site/es-419/hub/tutorials/wav2vec2_saved_model_finetuning.ipynb
• site/es-419/hub/tutorials/wiki40b_lm.ipynb
• site/es-419/hub/tutorials/yamnet.ipynb
• site/es-419/io/tutorials/audio.ipynb
• site/es-419/io/tutorials/avro.ipynb
• site/es-419/io/tutorials/azure.ipynb
• site/es-419/io/tutorials/bigquery.ipynb
• site/es-419/io/tutorials/bigtable.ipynb
• site/es-419/io/tutorials/colorspace.ipynb
• site/es-419/io/tutorials/dicom.ipynb
• site/es-419/io/tutorials/elasticsearch.ipynb
• site/es-419/io/tutorials/genome.ipynb
• site/es-419/io/tutorials/kafka.ipynb
• site/es-419/io/tutorials/mongodb.ipynb
• site/es-419/io/tutorials/orc.ipynb
• site/es-419/io/tutorials/postgresql.ipynb
• site/es-419/io/tutorials/prometheus.ipynb
• site/es-419/lattice/tutorials/aggregate_function_models.ipynb
• site/es-419/lattice/tutorials/canned_estimators.ipynb
• site/es-419/lattice/tutorials/custom_estimators.ipynb
• site/es-419/lattice/tutorials/keras_layers.ipynb
• site/es-419/lattice/tutorials/premade_models.ipynb
• site/es-419/lattice/tutorials/shape_constraints.ipynb
• site/es-419/lattice/tutorials/shape_constraints_for_ethics.ipynb
• site/es-419/lite/examples/jax_conversion/overview.ipynb
• site/es-419/lite/examples/on_device_training/overview.ipynb
• site/es-419/lite/guide/authoring.ipynb
• site/es-419/lite/guide/model_analyzer.ipynb
• site/es-419/lite/guide/signatures.ipynb
• site/es-419/lite/models/style_transfer/overview.ipynb
• site/es-419/lite/models/super_resolution/overview.ipynb
• site/es-419/neural_structured_learning/tutorials/adversarial_keras_cnn_mnist.ipynb
• site/es-419/neural_structured_learning/tutorials/graph_keras_lstm_imdb.ipynb
• site/es-419/neural_structured_learning/tutorials/graph_keras_mlp_cora.ipynb
• site/es-419/tfx/tutorials/data_validation/tfdv_basic.ipynb
• site/es-419/tfx/tutorials/mlmd/mlmd_tutorial.ipynb
• site/es-419/tfx/tutorials/model_analysis/tfma_basic.ipynb
• site/es-419/tfx/tutorials/serving/rest_simple.ipynb
• site/es-419/tfx/tutorials/tfx/CSV_Downloader_Component.ipynb
• site/es-419/tfx/tutorials/tfx/components.ipynb
• site/es-419/tfx/tutorials/tfx/components_keras.ipynb
• site/es-419/tfx/tutorials/tfx/gcp/vertex_pipelines_bq.ipynb
• site/es-419/tfx/tutorials/tfx/gcp/vertex_pipelines_simple.ipynb
• site/es-419/tfx/tutorials/tfx/gcp/vertex_pipelines_vertex_training.ipynb
• site/es-419/tfx/tutorials/tfx/neural_structured_learning.ipynb
• site/es-419/tfx/tutorials/tfx/penguin_simple.ipynb
• site/es-419/tfx/tutorials/tfx/penguin_template.ipynb
• site/es-419/tfx/tutorials/tfx/penguin_tfdv.ipynb
• site/es-419/tfx/tutorials/tfx/penguin_tfma.ipynb
• site/es-419/tfx/tutorials/tfx/penguin_transform.ipynb
• site/es-419/tfx/tutorials/tfx/python_function_component.ipynb
• site/es-419/tfx/tutorials/tfx/recommenders.ipynb
• site/es-419/tfx/tutorials/tfx/template.ipynb
• site/es-419/tfx/tutorials/tfx/template_beam.ipynb
• site/es-419/tutorials/audio/simple_audio.ipynb
• site/es-419/tutorials/distribute/custom_training.ipynb
• site/es-419/tutorials/distribute/keras.ipynb
• site/es-419/tutorials/distribute/parameter_server_training.ipynb
• site/es-419/tutorials/generative/pix2pix.ipynb
• site/es-419/tutorials/images/classification.ipynb
• site/es-419/tutorials/images/cnn.ipynb
• site/es-419/tutorials/images/data_augmentation.ipynb
• site/es-419/tutorials/images/segmentation.ipynb
• site/es-419/tutorials/images/transfer_learning.ipynb
• site/es-419/tutorials/images/transfer_learning_with_hub.ipynb
• site/es-419/tutorials/load_data/csv.ipynb
• site/es-419/tutorials/structured_data/feature_columns.ipynb
• site/es-419/tutorials/structured_data/preprocessing_layers.ipynb
• site/es-419/tutorials/video/video_classification.ipynb
• site/es-419/xla/tutorials/autoclustering_xla.ipynb
• site/es-419/xla/tutorials/jit_compile.ipynb

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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-l10n \ 
    --styles=tensorflow,tensorflow_docs_l10n notebook.ipynb

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[ilyaspiridonov]

@pcoet lint errors are standard License errors

[ilyaspiridonov]

@pcoet