neuraverkkoihin
Neuraverkkoihin, known in English as neural networks, are a class of machine learning algorithms inspired by the structure and function of biological neural networks in the human brain. They consist of interconnected nodes, or artificial neurons, organized in layers. These networks learn by adjusting the weights of the connections between neurons based on the data they are trained on. The goal is to identify patterns and make predictions or decisions without being explicitly programmed for every task.
The simplest form of a neural network is a perceptron, which can perform linear classification. More complex
Training a neural network typically involves feeding it a large dataset and using an algorithm like backpropagation
Neural networks find applications in a wide range of fields, including finance for fraud detection, healthcare