Shows how to solve a problem on Kaggle with TF-Hub.
Explores text semantic similarity with the Universal Encoder Module.
Explores a generative image module.
Explores action recognition from video.
Exemplifies use of the DELF Module for landmark recognition and matching.
Explores object detection with the use of the Faster R-CNN module trained on Open Images v4.
Shows how to train an image classifier based on any TensorFlow Hub module that computes image feature vectors.
Contains an example tool to generate a text embedding module from a csv file with word embeddings.
Simple example of how to create a TensorFlow Hub Module.