Neural Network Loss Functions Quiz

Explore, calculate, compare, and select neural network loss functions through practical scenarios, code challenges, instant explanations, progress tracking, and visual performance reports for mastery.

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Date	Mode	Score	Correct	Questions

Loss	Formula or idea	Typical use
MSE	1/n Σ(y−ŷ)²	Continuous regression
MAE	1/n Σ\|y−ŷ\|	Robust regression
Huber	Quadratic near zero, linear for large errors	Regression with outliers
Binary cross-entropy	−[y log p +(1−y) log(1−p)]	Binary or multilabel classification
Categorical cross-entropy	−Σ yₖ log pₖ	Mutually exclusive classes
Focal loss	−α(1−pₜ)ᵞ log(pₜ)	Class imbalance and hard examples
Dice loss	1 − 2\|A∩B\|/(\|A\|+\|B\|)	Segmentation overlap
Triplet loss	max(0,d(a,p)−d(a,n)+margin)	Embedding and retrieval
Quantile loss	Asymmetric absolute penalty	Prediction intervals and percentiles
VAE objective	Reconstruction + KL regularization	Variational autoencoders

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