The conversation between human and AI assistant.
What are some practical applications of generative adversarial networks?
That's fascinating. Are there any other practical applications of GANs that you can think of?
Yes, GANs can also be used for data augmentation, which involves generating new, synthetic training data to improve machine learning models. This is particularly useful in domains where collecting large amounts of training data is expensive or time-consuming. Additionally, GANs can be used for text generation, which involves synthesizing natural language text that is coherent and grammatically correct.