Aivoverkostoista

Aivoverkostoista, also known as artificial neural networks (ANNs), are computational models inspired by the structure and function of biological neural networks in the human brain. They are a subset of machine learning and are used for a variety of tasks such as pattern recognition, classification, and prediction. ANNs consist of interconnected groups of nodes, or "neurons," which process information. Each connection, or "synapse," between neurons has an associated weight that determines the strength of the signal transmitted. During training, the weights are adjusted to minimize the error between the network's output and the desired output. This process is typically done using an algorithm called backpropagation. ANNs can be used for both supervised and unsupervised learning tasks. In supervised learning, the network is trained on a labeled dataset, while in unsupervised learning, the network learns patterns from unlabeled data. ANNs have been successfully applied in various fields, including image and speech recognition, natural language processing, and game playing. However, they also face challenges such as the need for large amounts of data, the risk of overfitting, and the interpretability of the learned representations.