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What are the real-life applications of Transfer Learning in Machine Learning? I am particularly interested in industrial applications of the concept.

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    $\begingroup$ Would love to hear from the practitioners. $\endgroup$ – Ali Usyd Oct 5 at 1:52
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    $\begingroup$ A subtopic, called Multitask learning, was demonstrated for an image recognition problem in Railway Track Inspection. Object categories like broken and good are helping to identify material quality. Gibert, Xavier, Vishal M. Patel, and Rama Chellappa. "Deep multitask learning for railway track inspection." IEEE Transactions on Intelligent Transportation Systems 18.1 (2016): 153-164. $\endgroup$ – Manuel Rodriguez Oct 5 at 8:31
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One application I know of being used in industry is of image classification, by only training the last layer of one of the inception models released by Google, with the desired number of classes. I can't provide specific details.

Transfer learning is useful when:

1) You do not have the resources (time, processing power etc.) to train a DL model from scratch.

2) You can compromise a bit on accuracy.

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