What are the different types of learning rate schedules?

What are the different types of learning rate schedules?

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 any specific type?

Can you explain step decay?

Step decay reduces the learning rate by a factor at specific intervals during training. For example, you might reduce the learning rate by half every 10 epochs.

What about exponential decay?

Exponential decay decreases the learning rate continuously based on a decay factor. It can be expressed as: lr = initial_lr * exp(-decay_rate * epoch).

Are there any advantages to using cyclical learning rates?

Yes, cyclical learning rates can help escape local minima and improve convergence by allowing the learning rate to oscillate between a minimum and maximum value.