How do neural networks improve image recognition?

How do neural networks improve image recognition?

Neural networks enhance image recognition by learning patterns and features from large datasets, enabling better accuracy.

Can you explain how convolutional neural networks work?

Convolutional neural networks (CNNs) use layers of filters to detect features in images, like edges and textures.

What are some real-world applications of this technology?

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

Are there any limitations to using neural networks for image recognition?

Yes, limitations include the need for large datasets, potential biases in training data, and high computational costs.