Question: Explain the concept of dropout in neural networks and its purpose.Answer: Dropout is a regularization technique where randomly selected neurons are ignored during training. It helps prevent overfitting by ensuring that no single neuron becomes overly dependent on specific features, promoting a more robust network. |
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