Deep Learning 面接の質問と回答
Question: Explain the concept of a loss function in the context of machine learning models.Answer: A loss function measures the difference between the predicted output and the actual target. It quantifies the model's performance during training and is minimized during the optimization process. Common loss functions include mean squared error, cross-entropy, and hinge loss. |
復習用に保存
この項目をブックマークに追加したり、難しい内容としてマークしたり、復習セットに入れたりできます。
役に立ちましたか? はい いいえ
ユーザー評価で最も役立つ内容:
- Explain the purpose of an activation function in a neural network.
- What is transfer learning, and how is it used in deep learning?
- What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?