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• Complexity Class: In computer science and computational complexity theory, a complexity class is a set of problems of related computational difficulty. Complexity classes are defined by the amount of resources, such as time and space, that are required to so ... Read More >>
• Neural Network: A neural network is a type of machine learning algorithm that is modeled after the structure and function of the human brain. It is composed of layers of interconnected nodes, or neurons, that process and transmit information. Each neuron r ... Read More >>
• Regularization Parameter: In machine learning, regularization is a technique used to prevent overfitting by adding a penalty term to the loss function. The regularization parameter is a hyperparameter that controls the strength of this penalty term. A higher value o ... Read More >>