[D] Transfer learning from simple to complex task
Hi, I’m currently working on another project and I’m considering using transfer learning. I want to train a network with simple data that is easy to produce and use the pretrained network as a starting point for a more complicated model.
Eg. train a model to recognizing letters from images. Then somehow use another network to recognize words from a image.
Sure it is possible to create bounding boxes for each letter and then use the second network to predict them, but is there a way to apply transfer learning to a end to end approach?
Are there any papers in this area, any keywords that are describing these tasks.