In computer science, particularly in the field of machine learning and artificial intelligence, a „trenér“ refers to a „trainer,“ which is a component or a process that is responsible for teaching a model to recognize patterns or make predictions based on input data. The trainer typically involves providing a labeled dataset that the model uses to learn the relationship between input features and output labels.
During the training phase, the model adjusts its internal parameters based on the errors in its predictions, often using optimization algorithms to minimize a loss function. The efficiency and effectiveness of a trainer depend on various factors, including the choice of algorithms, quality of the training data, and hyperparameter settings.
In essence, the trenér plays a crucial role in the development of machine learning models by ensuring they learn from data and improve over time, leading to better performance on tasks such as classification, regression, and clustering.
Fotbalový styl Sunderlandu pod vedením Regise Le Brise mísí okouzlující hru se strategickou zdatností na hřišti. Francouzští hráči Wilson Isidor a Enzo Le Fee fascinují fanoušky svým výjimečným týmovým duchem…