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I want to create a neural network that I can train with many datasets (e.g. 20 - 25 datasets). Can I use transfer learning for this? Or is there a better approach than this?

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    $\begingroup$ Maybe you should describe your datasets. Do they contain the same features and labels? What tasks are you trying to solve? Classification, regression, of what exactly? Edit your post to include more details, so that an answer is more useful. Also, please, read ai.stackexchange.com/help/on-topic. $\endgroup$ – nbro Jul 25 at 12:24

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