Hosting food101 deep learning model

The model (food101-tensorflow-serving/tensorflow-serving/classifier/) is produced by retraining all layers of InceptionV3 (initialised with imagenet weights) with the food101 dataset (https://www.kaggle.com/dansbecker/food-101/home) Top-1 accuracy is ~83%

How to build and run using docker

docker-compose up --build

Go to your browswer: http://localhost:5000 and upload the photo

Output = (class, score)