| action_recognition_with_tf_hub.ipynb | 14.7 KB | |
| bangla_article_classifier.ipynb | 24.7 KB | |
| bert_experts.ipynb | 11.1 KB | |
| bigbigan_with_tf_hub.ipynb | 30.2 KB | |
| biggan_generation_with_tf_hub.ipynb | 16.5 KB | |
| boundless.ipynb | 11.3 KB | |
| cord_19_embeddings.ipynb | 21.4 KB | |
| cord_19_embeddings_keras.ipynb | 15.9 KB | |
| cropnet_cassava.ipynb | 14.2 KB | |
| cropnet_on_device.ipynb | 27.4 KB | |
| cross_lingual_similarity_with_tf_hub_multilingual_universal_encoder.ipynb | 315.7 KB | |
| hrnet_semantic_segmentation.ipynb | 7.9 KB | |
| image_classification.ipynb | 26.2 KB | |
| image_enhancing.ipynb | 14.1 KB | |
| image_feature_vector.ipynb | 26.3 KB | |
| movenet.ipynb | 34.2 KB | |
| movinet.ipynb | 37 KB | |
| object_detection.ipynb | 16.2 KB | |
| retrieval_with_tf_hub_universal_encoder_qa.ipynb | 14.8 KB | |
| s3gan_generation_with_tf_hub.ipynb | 19.2 KB | |
| semantic_approximate_nearest_neighbors.ipynb | 32.3 KB | |
| semantic_similarity_with_tf_hub_universal_encoder.ipynb | 13.9 KB | |
| semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb | 19.7 KB | |
| senteval_for_universal_sentence_encoder_cmlm.ipynb | 11.2 KB | |
| spice.ipynb | 33.8 KB | |
| text_classification_with_tf_hub_on_kaggle.ipynb | 17.1 KB | |
| text_cookbook.md | 7.9 KB | |
| text_to_video_retrieval_with_s3d_milnce.ipynb | 10.8 KB | |
| tf2_arbitrary_image_stylization.ipynb | 16 KB | |
| tf2_image_retraining.ipynb | 29.7 KB | |
| tf2_object_detection.ipynb | 28.1 KB | |
| tf2_semantic_approximate_nearest_neighbors.ipynb | 28.9 KB | |
| tf2_text_classification.ipynb | 23.6 KB | |
| tf_hub_delf_module.ipynb | 12.7 KB | |
| tf_hub_film_example.ipynb | 20.7 KB | |
| tf_hub_generative_image_module.ipynb | 15.6 KB | |
| tweening_conv3d.ipynb | 10.2 KB | |
| wav2vec2_saved_model_finetuning.ipynb | 35.2 KB | |
| wiki40b_lm.ipynb | 29.3 KB | |
| yamnet.ipynb | 12 KB | |
