Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
This can be useful when dealing with imbalanced datasets, where one class is significantly underrepresented compared to the other. The formula for weighted binary cross-entropy loss is as follows: L(y, ŷ) = -[w_pos * y * log(ŷ) + w_neg * (1 — y) * log(1 — ŷ)] where y is the true binary label (0 or