Video Summary

Neural networks are a type of machine learning algorithm that can be used to solve a wide variety of problems, including image recognition, natural language processing, and speech recognition. They are inspired by the human brain, and are able to learn from data in a way that is similar to how humans learn. Neural networks are typically made up of layers of interconnected nodes, and each node is responsible for learning a specific feature of the data. As the network is trained, the weights between the nodes are adjusted so that the network can make more accurate predictions.