What are some examples of learning rate schedules in machine learning?
An example of an AI chatbot conversation about learning rate schedules in machine learning.
What are some examples of learning rate schedules in machine learning?
Learning rate schedules adjust the learning rate during training. Common examples include Step Decay, Exponential Decay, and Cyclical Learning Rates.
Can you explain how Step Decay works?
Sure! In Step Decay, the learning rate is reduced by a factor at specific intervals, helping the model converge more effectively.
What about Exponential Decay?
Exponential Decay reduces the learning rate exponentially over time, which can help in fine-tuning the model as it approaches convergence.
Are there any advantages to using Cyclical Learning Rates?
Yes! Cyclical Learning Rates can help escape local minima and improve convergence speed by varying the learning rate within a range.
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