Closed NeuZhangQiang closed 3 years ago
The paper said:
During training, the memory `M` is updated through optimization via backpropagation and gradient descent.
Does it mean that M is the optimized parameters in the network?
M
Thank you very much for any suggestion.
Yes. You can understand it in this way. In some view, M can be seen as a compression of the prototypical dataset in the normal data.
Thank you very much !
The paper said:
Does it mean that
M
is the optimized parameters in the network?Thank you very much for any suggestion.