IAPP
AIGP · Question #50
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:
The correct answer is C. Autoregression, which analyzes and makes predictions about time-series data. Autoregression is a statistical modeling technique for time-series analysis, not a weight optimization technique used in deep learning neural networks.
AI Models and Data
Question
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:
Options
- AGradient descent, which initially sets weights to arbitrary values, and then at each step changes
- BMomentum, which improves the convergence speed and stability of neural network training.
- CAutoregression, which analyzes and makes predictions about time-series data.
- DBackpropagation, which starts from the last layer working backwards.
How the community answered
(31 responses)- A6% (2)
- B13% (4)
- C77% (24)
- D3% (1)
Explanation
Autoregression is a statistical modeling technique for time-series analysis, not a weight optimization technique used in deep learning neural networks.
Topics
#deep learning optimization#gradient descent#backpropagation#neural networks
Community Discussion
No community discussion yet for this question.