How does deep learning improve image recognition?

How does deep learning improve image recognition?

Deep learning enhances image recognition by using neural networks to learn features from images automatically.

What types of neural networks are commonly used for this?

Convolutional Neural Networks (CNNs) are the most commonly used for image recognition tasks due to their ability to capture spatial hierarchies.

Can you explain how CNNs work in simple terms?

Sure! CNNs use layers of filters to detect patterns in images, like edges and textures, which helps in classifying images.

What are some real-world applications of deep learning in image recognition?

Real-world applications include facial recognition, medical image analysis, and autonomous vehicles.