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Related Questions
- What is the main purpose of L1 and L2 regularization in neural networks?
- How do L1 and L2 regularization affect the complexity of a neural network model?
- Can you provide an example of how L1 regularization can help prevent overfitting?
- What is the difference in the effect of L1 and L2 regularization on model weights?
- How do the hyperparameters of L1 and L2 regularization (e.g. alpha) impact the model's performance?
- Can you explain the trade-off between model accuracy and regularization strength in L1 and L2 regularization?
- How do L1 and L2 regularization compare to dropout as a regularization technique in neural networks?
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