[KO] Translations

[ilyaspiridonov]

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• site/ko/addons/tutorials/average_optimizers_callback.ipynb
• site/ko/addons/tutorials/image_ops.ipynb
• site/ko/addons/tutorials/networks_seq2seq_nmt.ipynb
• site/ko/datasets/dataset_collections.ipynb
• site/ko/datasets/overview.ipynb
• site/ko/datasets/tfless_tfds.ipynb
• site/ko/federated/tutorials/building_your_own_federated_learning_algorithm.ipynb
• site/ko/guide/core/matrix_core.ipynb
• site/ko/guide/core/optimizers_core.ipynb
• site/ko/guide/core/quickstart_core.ipynb
• site/ko/guide/dtensor_overview.ipynb
• site/ko/guide/migrate/tf1_vs_tf2.ipynb
• site/ko/guide/migrate/validate_correctness.ipynb
• site/ko/guide/ragged_tensor.ipynb
• site/ko/io/tutorials/azure.ipynb
• site/ko/io/tutorials/dicom.ipynb
• site/ko/io/tutorials/postgresql.ipynb
• site/ko/io/tutorials/prometheus.ipynb
• site/ko/lattice/tutorials/shape_constraints.ipynb
• site/ko/lite/examples/on_device_training/overview.ipynb
• site/ko/lite/guide/model_analyzer.ipynb
• site/ko/lite/guide/signatures.ipynb
• site/ko/lite/models/modify/model_maker/image_classification.ipynb
• site/ko/lite/models/modify/model_maker/object_detection.ipynb
• site/ko/lite/models/modify/model_maker/question_answer.ipynb
• site/ko/lite/models/modify/model_maker/text_classification.ipynb
• site/ko/lite/models/modify/model_maker/text_searcher.ipynb
• site/ko/lite/models/style_transfer/overview.ipynb
• site/ko/lite/performance/post_training_float16_quant.ipynb
• site/ko/lite/tutorials/pose_classification.ipynb
• site/ko/model_optimization/guide/clustering/clustering_comprehensive_guide.ipynb
• site/ko/model_optimization/guide/clustering/clustering_example.ipynb
• site/ko/model_optimization/guide/combine/cqat_example.ipynb
• site/ko/model_optimization/guide/combine/pcqat_example.ipynb
• site/ko/model_optimization/guide/combine/pqat_example.ipynb
• site/ko/model_optimization/guide/combine/sparse_clustering_example.ipynb
• site/ko/model_optimization/guide/pruning/comprehensive_guide.ipynb
• site/ko/model_optimization/guide/pruning/pruning_for_on_device_inference.ipynb
• site/ko/model_optimization/guide/pruning/pruning_with_sparsity_2_by_4.ipynb
• site/ko/neural_structured_learning/tutorials/adversarial_keras_cnn_mnist.ipynb
• site/ko/probability/examples/A_Tour_of_TensorFlow_Probability.ipynb
• site/ko/probability/examples/Bayesian_Gaussian_Mixture_Model.ipynb
• site/ko/probability/examples/Distributed_Inference_with_JAX.ipynb
• site/ko/probability/examples/Gaussian_Process_Regression_In_TFP.ipynb
• site/ko/probability/examples/HLM_TFP_R_Stan.ipynb
• site/ko/probability/examples/JointDistributionAutoBatched_A_Gentle_Tutorial.ipynb
• site/ko/probability/examples/Linear_Mixed_Effects_Model_Variational_Inference.ipynb
• site/ko/probability/examples/Linear_Mixed_Effects_Models.ipynb
• site/ko/probability/examples/Modeling_with_JointDistribution.ipynb
• site/ko/probability/examples/Multilevel_Modeling_Primer.ipynb
• site/ko/probability/examples/Multiple_changepoint_detection_and_Bayesian_model_selection.ipynb
• site/ko/probability/examples/Optimizers_in_TensorFlow_Probability.ipynb
• site/ko/probability/examples/Probabilistic_Layers_VAE.ipynb
• site/ko/probability/examples/STS_approximate_inference_for_models_with_non_Gaussian_observations.ipynb
• site/ko/probability/examples/TFP_Release_Notebook_0_11_0.ipynb
• site/ko/probability/examples/TFP_Release_Notebook_0_12_1.ipynb
• site/ko/probability/examples/TFP_Release_Notebook_0_13_0.ipynb
• site/ko/probability/examples/TensorFlow_Distributions_Tutorial.ipynb
• site/ko/probability/examples/TensorFlow_Probability_Case_Study_Covariance_Estimation.ipynb
• site/ko/probability/examples/TensorFlow_Probability_on_JAX.ipynb
• site/ko/probability/examples/Understanding_TensorFlow_Distributions_Shapes.ipynb
• site/ko/probability/examples/Variational_Inference_with_Multipart_Bijectors.ipynb
• site/ko/quantum/tutorials/hello_many_worlds.ipynb
• site/ko/quantum/tutorials/mnist.ipynb
• site/ko/quantum/tutorials/quantum_reinforcement_learning.ipynb
• site/ko/tensorboard/get_started.ipynb
• site/ko/tensorboard/graphs.ipynb
• site/ko/tensorboard/hyperparameter_tuning_with_hparams.ipynb
• site/ko/tensorboard/image_summaries.ipynb
• site/ko/tensorboard/migrate.ipynb
• site/ko/tensorboard/scalars_and_keras.ipynb
• site/ko/tensorboard/tbdev_getting_started.ipynb
• site/ko/tensorboard/tensorboard_profiling_keras.ipynb
• site/ko/tensorboard/text_summaries.ipynb
• site/ko/tfx/tutorials/data_validation/tfdv_basic.ipynb
• site/ko/tfx/tutorials/serving/rest_simple.ipynb
• site/ko/tfx/tutorials/tfx/components.ipynb
• site/ko/tfx/tutorials/tfx/components_keras.ipynb
• site/ko/tfx/tutorials/tfx/gcp/vertex_pipelines_bq.ipynb
• site/ko/tfx/tutorials/tfx/gcp/vertex_pipelines_simple.ipynb
• site/ko/tfx/tutorials/tfx/gcp/vertex_pipelines_vertex_training.ipynb
• site/ko/tfx/tutorials/tfx/neural_structured_learning.ipynb
• site/ko/tfx/tutorials/tfx/penguin_simple.ipynb
• site/ko/tfx/tutorials/tfx/penguin_tfdv.ipynb
• site/ko/tfx/tutorials/tfx/penguin_tfma.ipynb
• site/ko/tfx/tutorials/tfx/penguin_transform.ipynb
• site/ko/tfx/tutorials/tfx/python_function_component.ipynb
• site/ko/tfx/tutorials/tfx/recommenders.ipynb
• site/ko/tfx/tutorials/tfx/template_beam.ipynb
• site/ko/tfx/tutorials/transform/census.ipynb
• site/ko/tfx/tutorials/transform/simple.ipynb
• site/ko/tutorials/audio/music_generation.ipynb
• site/ko/tutorials/audio/transfer_learning_audio.ipynb
• site/ko/tutorials/customization/custom_layers.ipynb
• site/ko/tutorials/distribute/dtensor_keras_tutorial.ipynb
• site/ko/tutorials/distribute/dtensor_ml_tutorial.ipynb
• site/ko/tutorials/distribute/multi_worker_with_estimator.ipynb
• site/ko/tutorials/distribute/multi_worker_with_keras.ipynb
• site/ko/tutorials/distribute/save_and_load.ipynb
• site/ko/tutorials/estimator/keras_model_to_estimator.ipynb
• site/ko/tutorials/generative/cvae.ipynb
• site/ko/tutorials/generative/cyclegan.ipynb
• site/ko/tutorials/generative/dcgan.ipynb
• site/ko/tutorials/generative/deepdream.ipynb
• site/ko/tutorials/generative/style_transfer.ipynb
• site/ko/tutorials/images/classification.ipynb
• site/ko/tutorials/images/cnn.ipynb
• site/ko/tutorials/images/data_augmentation.ipynb
• site/ko/tutorials/images/segmentation.ipynb
• site/ko/tutorials/images/transfer_learning_with_hub.ipynb
• site/ko/tutorials/keras/keras_tuner.ipynb
• site/ko/tutorials/keras/overfit_and_underfit.ipynb
• site/ko/tutorials/keras/regression.ipynb
• site/ko/tutorials/keras/save_and_load.ipynb
• site/ko/tutorials/keras/text_classification.ipynb
• site/ko/tutorials/keras/text_classification_with_hub.ipynb
• site/ko/tutorials/load_data/images.ipynb
• site/ko/tutorials/load_data/text.ipynb
• site/ko/tutorials/load_data/tfrecord.ipynb
• site/ko/tutorials/quickstart/beginner.ipynb
• site/ko/tutorials/reinforcement_learning/actor_critic.ipynb
• site/ko/tutorials/structured_data/preprocessing_layers.ipynb
• site/ko/xla/tutorials/autoclustering_xla.ipynb

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[ilyaspiridonov]

Lint warning are licence warnings (inherited from English counterparts)

[pcoet]

I spot checked the translation in a couple of places and reviewed the linting errors. No major concerns. LGTM.