题目
题目

CS-7643-O01, OAN, OSZ Quiz #3: Convolutional Neural Network Architectures (Lesson 6), Visualization (Lesson 7), Advanced Computer Vision Architectures (Lesson 8)

多项选择题

Which of the following statements about transfer learning in CNNs are correct? (mark all that apply)

选项
A.Pre-trained CNNs can be used for transfer learning even when the source task is very different from the target task, provided sufficient labeled data is available.
B.Fine-tuning all layers of a pre-trained CNN is always better than freezing earlier layers and only training the final layer
C.Transfer learning works best when the source and target domains are similar in terms of data distribution and task objectives.
D.Transfer learning typically improves performance because pre-trained weights act as an effective form of regularization, reducing the risk of overfitting
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标准答案
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思路分析
Topic: transfer learning in CNNs and which statements are correct. Option 1: 'Pre-trained CNNs can be used for transfer learning even when the source task is very different from the target task, provided sufficient labeled data is available.' This is partially true in practice: transfer learning can be attempted when source and target tasks differ, especially if you have enough labeled data to adapt the model. However, the usefulness tends to drop as tasks diverge, and the benefit is not guaranteed. The state......Login to view full explanation

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