transfer learning work
How does Transfer Learning work?
The simple idea of transfer learning is, After Neural Network learned from one task, apply that knowledge to another related task. It is a powerful idea in Deep Learning. You all know in Computer vision and Natural Language Processing tasks required high computational costs and time. So, we can simplify those tasks using Transfer Learning. For example, after we trained a model using images to classify Cars, then that model we can use to recognize other vehicles like trucks.