Transfer Learning Advantages. Without using transfer learning youll have to use significantly larger datasets to get results that are equal in performance. Page 536 deep learning 2016.
In other types of learning you need to build a model without any knowledge. When we augment the knowledge of an isolated learner also known as an ignorant learner with. Easily identifies trends and patterns.
In transfer learning the neural network is trained in two stages.
The initial skill before refining the model on the source model is higher than it otherwise would be. Without using transfer learning youll have to use significantly larger datasets to get results that are equal in performance. The initial skill on the source model is higher than it otherwise would be. Transfer learning offers a higher learning rate during training since the problem has already.