Loss Function
A loss function measures model error during training and gives an optimization algorithm the objective used to adjust AI model parameters.
#LossFunction
Explore AIstify's latest reporting, research, and expert analysis tagged with "loss function", collected in one continuously updated archive.
Related Posts
Cross-Entropy
Cross-entropy measures the difference between a predicted probability distribution and the correct target distribution.
Backpropagation
Backpropagation trains neural networks by tracing prediction errors backward through their layers and adjusting internal weights to improve future results.
Gradient Descent
By
Daniel Mercer
• 1 min read
Gradient descent is an optimization algorithm that reduces model error by repeatedly adjusting parameters in the direction indicated by the loss gradient.