How can I optimize the learning rate for my neural network?

How can I optimize the learning rate for my neural network?

Optimizing the learning rate is crucial for training your neural network effectively. You can start by using techniques like learning rate schedules or adaptive learning rates.

What are learning rate schedules?

Learning rate schedules adjust the learning rate during training. Common types include step decay, exponential decay, and cosine annealing.

Can you explain adaptive learning rates?

Adaptive learning rates adjust the learning rate based on the training process. Algorithms like Adam and RMSprop automatically modify the learning rate for each parameter.

How do I choose the initial learning rate?

A good starting point is to try values like 0.01, 0.001, or 0.0001. You can also use techniques like learning rate range tests to find the optimal value.