What is deep learning in image recognition?

Can you explain what deep learning is in the context of image recognition?

Deep learning is a subset of machine learning that uses neural networks with many layers to analyze and interpret images.

How does deep learning improve image recognition accuracy?

It improves accuracy by learning complex patterns and features from large datasets, allowing for better classification.

What are some common applications of deep learning in image recognition?

Common applications include facial recognition, medical image analysis, and autonomous vehicles.

Are there any challenges associated with deep learning in image recognition?

Yes, challenges include the need for large labeled datasets, computational power, and potential biases in training data.