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Hello, I would like to ask how such more parameters can be updated in a neural network with a black box, because it needs to use gradient descent to calculate the bias of w. If we do not know what's inside the black box, how to calculate the gradient descent.
The text was updated successfully, but these errors were encountered:
Maybe, there is an analog hardware component which could maximize its magnitude of output vector under a certain input through updating its internal states by simple Physics rule(s).
Anyone with deep knowledge in FF/Physics can share?
Hello, I would like to ask how such more parameters can be updated in a neural network with a black box, because it needs to use gradient descent to calculate the bias of w. If we do not know what's inside the black box, how to calculate the gradient descent.
The text was updated successfully, but these errors were encountered: