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What are the applications of transfer learning in Deep Learning?

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I am sure you would have a doubt as to why a relatively simple question was included in the Intermediate Level. The reason is the sheer volume of subsequent questions it can generate!

The use of transfer learning has been one of the key milestones in deep learning. Training a large model on a huge dataset, and then using the final parameters on smaller simpler datasets has led to defining breakthroughs in the form of Pretrained Models. Be it Computer Vision or NLP, pretrained models have become the norm in research and in the industry.

Some popular examples include BERT, ResNet, GPT-2, VGG-16, etc and many more.

It is here that you can earn brownie points by pointing out specific examples/proje

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