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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الاكثر فائدة حسب تقييم المستخدمين:
- 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?