What are the different types of learning rate schedules in machine learning?
An example of an AI chatbot conversation about different learning rate schedules in machine learning.
What are the different types of learning rate schedules in machine learning?
There are several types of learning rate schedules, including constant, step decay, exponential decay, and cyclical learning rates. Would you like to know more about a specific type?
Can you explain step decay?
Step decay reduces the learning rate by a factor at specific intervals, which helps in fine-tuning the model as it converges.
What about exponential decay?
Exponential decay decreases the learning rate continuously based on a decay factor, allowing for a smoother reduction over time.
How do I choose the right schedule for my model?
Choosing the right schedule depends on your model architecture and the dataset. Experimenting with different schedules can help find the best fit.
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