What is Transfer Learning?
Transfer Learning is a machine learning technique where model trained on one task could be applied to the different but related problem. For example (from Wikipedia), knowledge gained while learning to recognize cars could apply when trying to recognize trucks. This model is retrained in a similar problem which will drastically cut down the training time. To conduct deep learning could take days, but transfer learning helps to conduct the work in a very short…