Question: How does the term 'dropout' apply to neural networks?Answer: Dropout is a regularization technique used in neural networks to randomly deactivate some neurons during training. It helps prevent overfitting and encourages the network to learn more robust features. |
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الاكثر فائدة حسب تقييم المستخدمين:
- Explain the concept of feature engineering.
- What is the purpose of regularization in machine learning?
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.