Deep Learning Interviewfragen und Antworten
Question: Explain the concept of a confusion matrix and its components in the context of classification problems.Answer: A confusion matrix is a table that summarizes the performance of a classification algorithm. It includes metrics such as true positives, true negatives, false positives, and false negatives. These metrics help evaluate the model's accuracy, precision, recall, and F1 score. |
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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?