Neural networks are a subset of machine learning that are inspired by the human brain. They consist of layers of nodes (neurons) that process input data to recognize patterns and make predictions. Neural networks are particularly effective for complex datasets and can be used for various applications, including image recognition, speech processing, and, of course, catalysis.
