Artificial Intelligence (AI) 面试题与答案
问题 46. What is the role of a learning rate in gradient-based optimization algorithms?
The learning rate determines the size of the steps taken during optimization. Choosing an appropriate learning rate is crucial for balancing the speed of convergence and avoiding overshooting or slow convergence.
Example:
Adjusting the learning rate in stochastic gradient descent to control the step size during weight updates.
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问题 47. What is adversarial training in the context of machine learning?
Adversarial training involves training a model against intentionally crafted adversarial examples to improve its robustness. This helps the model generalize better to real-world scenarios where inputs may deviate from training data.
Example:
Training a computer vision model with images intentionally modified to mislead the model.
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