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All of the following are common optimization techniques in deep learning to determine weights that...

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All of the following are common optimization techniques in deep learning to determine weights that represent the strength of the connection between artificial neurons EXCEPT?

A.

Gradient descent, which initially sets weights arbitrary values, and then at each step changes them.

B.

Momentum, which improves the convergence speed and stability of neural network training.

C.

Autoregression, which analyzes and makes predictions about time-series data.

D.

Backpropagation, which starts from the last layer working backwards.

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