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TensorFlow Hub Authors and vbardiovskyg Update colab for universal encoder multilingual model with a semantic…
… search demo.

This demo illustrates how to build a semantic-search application using the Universal Sentence Encoder Multilingual model, the simpleneighbors library and the
News Commentary dataset.

PiperOrigin-RevId: 257783785
Latest commit 114b29e Jul 12, 2019

README.md

Examples

Notebooks

colab/text_classification_with_tf_hub_on_kaggle.ipynb

Shows how to solve a problem on Kaggle with TF-Hub.

colab/semantic_similarity_with_tf_hub_universal_encoder.ipynb

Explores text semantic similarity with the Universal Encoder Module.

colab/tf_hub_generative_image_module.ipynb

Explores a generative image module.

colab/action_recognition_with_tf_hub.ipynb

Explores action recognition from video.

colab/tf_hub_delf_module.ipynb

Exemplifies use of the DELF Module for landmark recognition and matching.

colab/object_detection.ipynb

Explores object detection with the use of the Faster R-CNN module trained on Open Images v4.

Python scripts

image_retraining

Shows how to train an image classifier based on any TensorFlow Hub module that computes image feature vectors.

text_embeddings

Example tool to generate a text embedding module from a csv file with word embeddings.

half_plus_two

Simple example of how to create a TensorFlow Hub Module.

TensorFlow 2

text_embeddings_v2

Example tool to generate a text embedding module in TF2 format.

mnist

Example tool to train and export a simple MNIST classifier in TF2 format.

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