data augmentation?

Data augmentation is a technique to artificially create new training data from existing training data.

And what is transfer learning?

Transfer learning is a machine learning method where a model developed for a task is reused as the starting point for a model on a second task

Sounds interesting?
then don’t miss our” Data augmentation and Transfer Learning”