Question: What is a convolutional neural network (CNN), and how is it different from a fully connected neural network?Answer: A CNN is a type of neural network designed for processing grid-like data, such as images. It uses convolutional layers to automatically and adaptively learn hierarchical features. Unlike fully connected networks, CNNs preserve spatial relationships within the input data. |
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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?