Question: What is the fundamental difference between supervised and unsupervised learning?Answer: Supervised learning involves labeled data, where the algorithm learns from input-output pairs. Unsupervised learning deals with unlabeled data, and the algorithm discovers patterns and relationships without explicit guidance. |
Is it helpful?
Yes
No
Most helpful rated by users:
- 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?