In the real world, data is rarely clean enough to be used out-of-the-box. Collecting and labelling data accurately is a time and labour-intensive task, with many real-world problems not having datasets that are deep enough to apply AI to. Transfer learning has long been quoted as the solution to these scarce datasets. Using the knowledge…

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