Câu 28: AIGP: Artificial Intelligence Governance Professional

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:

1. A. Gradient descent, which initially sets weights to arbitrary values, and then at each step changes them.
2. B. Momentum, which improves the convergence speed and stability of neutral network training.
3. C. Autoregression, which analyzes and makes predictions about time-series data. — đáp án hiện tại
4. D. Backpropagation, which starts from the last layer working backwards.