Learning Rate Scheduling in Machine Learning

Learning rate scheduling is a crucial technique in machine learning that helps in adjusting the learning rate during the training process. This adjustment can significantly impact the performance of the model. Here are some common methods of learning rate scheduling:

• Step Decay: Reduces the learning rate by a fixed factor after a certain number of epochs.
• Exponential Decay: Gradually decreases the learning rate as the training progresses.
• Learning Rate Warmup: Initially uses a smaller learning rate and gradually increases it to the desired value.
• Cyclic Learning Rate: Cycles the learning rate between a minimum and maximum value.

Learning Rate Scheduling

For more information on learning rate scheduling and other machine learning techniques, visit our Machine Learning Resources.