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)
