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AI Taster Session - Transfer Learning

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In this session we will show how to transfer knowledge from one neural network, pretrained for a computer vision task, to anothe.

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It can sometimes be too costly to train a neural network from scratch. In these cases, we can use what has been learnt by models which have been trained for a different task by applying transfer learning. In this session we'll cover both the theory and code behind how to do that to achieve results on a task in a fraction of the time it might take to build something from the ground up.

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