Model Training
6 practice questionsArtificial IntelligenceStep-by-step solutions
Try a few
1
The 'learning rate' in training a model controls:
A.The number of features
B.The step size of weight updates
C.The size of the dataset
D.The number of classes
2
Gradient descent updates a model's weights by moving them in the direction of:
A.The positive gradient of the loss
B.The negative gradient of the loss
C.A random vector
D.The largest weight
3
During model training, the parameters (weights) are adjusted to:
A.Maximize the loss function
B.Minimize the loss/error function
C.Increase the dataset size
D.Randomize the outputs
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