[ZH-CN] Translations - documentation

[ilyaspiridonov]

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Preview and run these notebook edits with Google Colab:

• site/zh-cn/datasets/dataset_collections.ipynb
• site/zh-cn/datasets/overview.ipynb
• site/zh-cn/datasets/tfless_tfds.ipynb
• site/zh-cn/federated/openmined2020/openmined_conference_2020.ipynb
• site/zh-cn/guide/core/optimizers_core.ipynb
• site/zh-cn/guide/dtensor_overview.ipynb
• site/zh-cn/guide/intro_to_modules.ipynb
• site/zh-cn/guide/keras/custom_callback.ipynb
• site/zh-cn/guide/keras/custom_layers_and_models.ipynb
• site/zh-cn/guide/keras/functional.ipynb
• site/zh-cn/guide/keras/masking_and_padding.ipynb
• site/zh-cn/guide/keras/rnn.ipynb
• site/zh-cn/guide/keras/train_and_evaluate.ipynb
• site/zh-cn/guide/keras/transfer_learning.ipynb
• site/zh-cn/guide/migrate/migrating_feature_columns.ipynb
• site/zh-cn/guide/migrate/saved_model.ipynb
• site/zh-cn/guide/migrate/tf1_vs_tf2.ipynb
• site/zh-cn/guide/migrate/validate_correctness.ipynb
• site/zh-cn/guide/ragged_tensor.ipynb
• site/zh-cn/guide/tpu.ipynb
• site/zh-cn/io/tutorials/azure.ipynb
• site/zh-cn/io/tutorials/postgresql.ipynb
• site/zh-cn/io/tutorials/prometheus.ipynb
• site/zh-cn/lattice/tutorials/canned_estimators.ipynb
• site/zh-cn/lattice/tutorials/shape_constraints.ipynb
• site/zh-cn/lattice/tutorials/shape_constraints_for_ethics.ipynb
• site/zh-cn/lite/examples/on_device_training/overview.ipynb
• site/zh-cn/lite/guide/model_analyzer.ipynb
• site/zh-cn/lite/guide/signatures.ipynb
• site/zh-cn/lite/models/modify/model_maker/image_classification.ipynb
• site/zh-cn/lite/models/modify/model_maker/object_detection.ipynb
• site/zh-cn/lite/models/modify/model_maker/question_answer.ipynb
• site/zh-cn/lite/models/modify/model_maker/text_classification.ipynb
• site/zh-cn/lite/models/modify/model_maker/text_searcher.ipynb
• site/zh-cn/lite/models/style_transfer/overview.ipynb
• site/zh-cn/lite/performance/post_training_float16_quant.ipynb
• site/zh-cn/lite/tutorials/pose_classification.ipynb
• site/zh-cn/neural_structured_learning/tutorials/adversarial_keras_cnn_mnist.ipynb
• site/zh-cn/probability/examples/A_Tour_of_TensorFlow_Probability.ipynb
• site/zh-cn/probability/examples/Bayesian_Gaussian_Mixture_Model.ipynb
• site/zh-cn/probability/examples/Gaussian_Copula.ipynb
• site/zh-cn/probability/examples/Gaussian_Process_Regression_In_TFP.ipynb
• site/zh-cn/probability/examples/Generalized_Linear_Models.ipynb
• site/zh-cn/probability/examples/HLM_TFP_R_Stan.ipynb
• site/zh-cn/probability/examples/JointDistributionAutoBatched_A_Gentle_Tutorial.ipynb
• site/zh-cn/probability/examples/Linear_Mixed_Effects_Model_Variational_Inference.ipynb
• site/zh-cn/probability/examples/Linear_Mixed_Effects_Models.ipynb
• site/zh-cn/probability/examples/Modeling_with_JointDistribution.ipynb
• site/zh-cn/probability/examples/Multilevel_Modeling_Primer.ipynb
• site/zh-cn/probability/examples/Multiple_changepoint_detection_and_Bayesian_model_selection.ipynb
• site/zh-cn/probability/examples/Probabilistic_Layers_VAE.ipynb
• site/zh-cn/probability/examples/STS_approximate_inference_for_models_with_non_Gaussian_observations.ipynb
• site/zh-cn/quantum/tutorials/hello_many_worlds.ipynb
• site/zh-cn/quantum/tutorials/quantum_reinforcement_learning.ipynb
• site/zh-cn/tensorboard/get_started.ipynb
• site/zh-cn/tensorboard/image_summaries.ipynb
• site/zh-cn/tensorboard/scalars_and_keras.ipynb
• site/zh-cn/tfx/tutorials/transform/census.ipynb
• site/zh-cn/tutorials/audio/music_generation.ipynb
• site/zh-cn/tutorials/distribute/dtensor_keras_tutorial.ipynb
• site/zh-cn/tutorials/load_data/text.ipynb
• site/zh-cn/tutorials/structured_data/preprocessing_layers.ipynb
• site/zh-cn/tutorials/understanding/sngp.ipynb
• site/zh-cn/tutorials/video/transfer_learning_with_movinet.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-l10n \ 
    --styles=tensorflow,tensorflow_docs_l10n notebook.ipynb

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