Deep Learning Interviewfragen und Antworten
Question: What is the concept of regularization in machine learning, and how does it prevent overfitting?Answer: Regularization is a technique to prevent overfitting by adding a penalty term to the loss function based on the complexity of the model. Common regularization methods include L1 and L2 regularization, dropout, and early stopping. |
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Am hilfreichsten laut Nutzern:
- 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?