Artificial Neural Networks

Artificial Neural Networks (ANNs) are computational models inspired by the human brain's neural networks. They consist of interconnected nodes, or neurons, that process data in layers, allowing them to learn complex patterns and relationships. ANNs are characterized by their ability to adapt through training, using algorithms such as backpropagation to minimize errors in predictions. Common use cases include image and speech recognition, natural language processing, and predictive analytics, making them a cornerstone of modern machine learning applications.