You just re-fit the model on different data. It's called transfer learning. The theory is that it will run with similar features in your input data, therefore t

You just re-fit the model on different data. It's called transfer learning. The theory is that it will run with similar features in your input data, therefore the weights will not need to be adjusted too much. You can also freeze the weights of entire layers.