My purpose is to simplify advanced information about latest and emerging systems, earning them more available and comprehensible to people thinking about learning more.
. 1 essential issue to note is that we are able to only use just one -1 in the shape tuple. The remaining values really should be explicitly equipped by us. Else PyTorch will complain by throwing a RuntimeError:
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You must flatten this to provide it into the fully connected layer. So that you inform PyTorch to reshape the tensor you obtained to have specific quantity of columns and tell it to make a decision the quantity of rows by alone.
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of the tensor, assuming that the new form is suitable with the shape of the first tensor. Let's fully grasp this intimately utilizing a concrete instance.
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