StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Math Foundations
/
Calculus
/
Why gradients matter in ML
← Previous
Next →
347.
Gradients and Model Training
easy
Why are gradients essential to training machine learning models?
A
They indicate how to adjust each parameter to reduce the loss, the direction and magnitude of the required update
B
They indicate how accurate the model's predictions are on the training set relative to a baseline model across the observed training data
C
They indicate how sensitive the model's predictions are to changes in the input features
D
They indicate how much data is needed to train a model to a given level of performance
Sign in to verify your answer
← Back to Questions