How can I implement curriculum learning for training complex generative models in Julia

Question

Can you explain how I can implement curriculum learning for training complex generative models in Julia?

Answer 1

Curriculum learning involves training a model progressively on tasks or data of increasing complexity. Here are the steps you can follow to implement Curriculum learning for training generative models in Julia:

Steps:

• Define Training Stages: Create datasets or tasks that increase in complexity.
• Train Model in Stages: Use simpler datasets/tasks first, then progressively move to harder ones.

Here is the code snippet you can follow:

In the above code, we are using the following:

• Start with simple_data to allow the model to learn basic patterns.
• Gradually train on medium_data and complex_data to adapt to more challenging patterns.
• The staged approach helps the model converge better on complex tasks.

Hence, this method can be adapted to your specific generative model and datasets.