This is due to the fact our mindset shifts to learn more efficiently than someone that, say, learns to only go a exam.
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The best way to restructure the output tensor of the cnn layer to be used by a linear layer in a simple pytorch model 3
The view system returns a tensor Together with the exact same information as the self tensor (which implies the returned tensor has a similar quantity of things), but with a unique form. For instance:
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You have to flatten this to offer it on the fully linked layer. And that means you tell PyTorch to reshape the tensor you acquired to get specific variety of columns and convey to it to decide the volume of rows by alone.
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