How can you implement custom schedulers for generative model learning rates

Question

With the help of code, can you explain to me how you can implement custom schedulers for generative model learning rates?

Answer 1

To implement custom schedulers for learning rates in training generative models, you can define a custom learning rate schedule function and use it with a deep learning framework like PyTorch. 

Here is the code snippet you can refer to:

The above code adjusts the learning rate dynamically based on the epoch using a custom function.

Hence, by referring to the above you can implement custom schedulers for generative model learning rates.