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loss function

pl: loss functions

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cost function objective function algorithm optimization gradient derivative backpropagation weight bias parameter convergence epoch iteration learning rate stochastic regression classification cross entropy overfitting underfitting regularization penalty activation function neural network deep learning machine learning model prediction target label residual variance convexity global minimum local minimum saddle point optimizer momentum hyperparameter training set accuracy precision recall likelihood probability divergence Kullback Leibler divergence logarithm exponent tensor matrix vector scalar calculus linear algebra gradient descent ascent heuristic metric score performance deviation outlier normalization standardization

Last Updated: May 2026•Report an Error

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