…lassification? Enter TensorFlow Hub, a library for enhancing your TF models with transfer learning. Transfer learning is the process of taking the weights and variables of a pre-existing model that has already been trained on lots of data and leveraging it for your own data and prediction task.
Doing anything complicated in machine learning usually means building a pipeline. The idea is to break up your problem into very small pieces and then use machine learning to solve each smaller piece separately. Then by chaining together several machine learning models that feed into each other, you can do very complicated things.