Neural Networks

Neural networks are a type of machine learning model inspired by the human brain. They consist of layers of interconnected nodes called artificial neurons These nodes process inputs and produce outputs using complex algorithms Each node applies an activation function to the weighted sum of its inputs Backpropagation is used to train neural networks by minimizing errors iteratively Neural networks can learn to recognize patterns and make predictions from large datasets