| action_recognition_with_tf_hub.ipynb | 15 KB | |
| bangla_article_classifier.ipynb | 25.7 KB | |
| bert_experts.ipynb | 11.4 KB | |
| bigbigan_with_tf_hub.ipynb | 30.5 KB | |
| biggan_generation_with_tf_hub.ipynb | 16.6 KB | |
| boundless.ipynb | 11.6 KB | |
| cord_19_embeddings.ipynb | 21.6 KB | |
| cord_19_embeddings_keras.ipynb | 16.1 KB | |
| cropnet_cassava.ipynb | 14.5 KB | |
| cropnet_on_device.ipynb | 28.2 KB | |
| cross_lingual_similarity_with_tf_hub_multilingual_universal_encoder.ipynb | 316.3 KB | |
| hrnet_semantic_segmentation.ipynb | 7.9 KB | |
| image_classification.ipynb | 26.4 KB | |
| image_enhancing.ipynb | 14.2 KB | |
| image_feature_vector.ipynb | 27.1 KB | |
| movenet.ipynb | 34.4 KB | |
| movinet.ipynb | 37.6 KB | |
| object_detection.ipynb | 16.3 KB | |
| retrieval_with_tf_hub_universal_encoder_qa.ipynb | 15 KB | |
| s3gan_generation_with_tf_hub.ipynb | 19.4 KB | |
| semantic_approximate_nearest_neighbors.ipynb | 33.4 KB | |
| semantic_similarity_with_tf_hub_universal_encoder.ipynb | 14.1 KB | |
| semantic_similarity_with_tf_hub_universal_encoder_lite.ipynb | 20.1 KB | |
| senteval_for_universal_sentence_encoder_cmlm.ipynb | 11.6 KB | |
| spice.ipynb | 34.8 KB | |
| text_classification_with_tf_hub.ipynb | 24.4 KB | |
| text_classification_with_tf_hub_on_kaggle.ipynb | 17.7 KB | |
| text_cookbook.md | 9.8 KB | |
| text_to_video_retrieval_with_s3d_milnce.ipynb | 10.9 KB | |
| tf2_arbitrary_image_stylization.ipynb | 16 KB | |
| tf2_image_retraining.ipynb | 30.6 KB | |
| tf2_object_detection.ipynb | 29.1 KB | |
| tf2_semantic_approximate_nearest_neighbors.ipynb | 30 KB | |
| tf2_text_classification.ipynb | 25 KB | |
| tf_hub_delf_module.ipynb | 13 KB | |
| tf_hub_film_example.ipynb | 21 KB | |
| tf_hub_generative_image_module.ipynb | 15.9 KB | |
| tweening_conv3d.ipynb | 10.3 KB | |
| wav2vec2_saved_model_finetuning.ipynb | 37.1 KB | |
| wiki40b_lm.ipynb | 29.7 KB | |
| yamnet.ipynb | 12.5 KB | |
