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Hello @chewyh26 I too just went through that part and the multi-label classification problem was not demonstrated. I think it might be covered in the future section since I too am in the middle of learning. If you are interested then you can also do your own research and implement it. |
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In the starting video of the PyTorch neural network classification, the 3 different problem types binary, multi-class and multi-label classification were mentioned but after reviewing the entire section, I did not see any instructional videos covering the third problem type: multi-label classification. Will you be able to show an example dataset of how pyTorch can be implemented to address the multi-label classification problem type?
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