What is the difference between deep learning and supervised learning?

What is the difference between deep learning and supervised learning?

Deep learning is a subset of machine learning that uses neural networks with many layers, while supervised learning is a broader category that includes any algorithm trained on labeled data.

Can you give me examples of each?

Sure! An example of deep learning is image recognition using convolutional neural networks. An example of supervised learning is a linear regression model predicting house prices based on features like size and location.

Which one is better for image classification?

Deep learning is generally better for image classification tasks due to its ability to learn complex patterns from large datasets.

Are there any limitations to deep learning?

Yes, deep learning requires a lot of data and computational power, and it can be prone to overfitting if not managed properly.