Artificial Intelligence (AI) 面接の質問と回答
質問 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.
役に立ちましたか？
コメントを追加
コメントを見る
質問 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.
役に立ちましたか？
コメントを追加
コメントを見る
ユーザー評価で最も役立つ内容:
- What is Artificial Intelligence?
- What is natural language processing (NLP)?
- What is a decision tree in machine learning?
- What is the role of a loss function in machine learning?
- What is the concept of data preprocessing in machine learning?