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What problem can occur if the learning rate is too high?

Answer and explanation

Correct answer: The model may overshoot the minimum-loss solution and fail to settle

The learning rate controls the size of each parameter update. If it is too high, updates may overshoot a minimum-loss point, causing oscillation, divergence, or unstable training. A high learning rate does not guarantee perfect accuracy, and it does not remove the need for data.

Related tags

Artificial IntelligenceClass 12Part B: Subject Specific SkillsUnit 6: Understanding Neural NetworksLearning RateModel TrainingOptimizationGradient Descent

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