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[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.

submitted by /u/cs_on_detours
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.