Data Augmentation Strategies for Enhancing Generative AI Models

Data augmentation has become an essential technique in the field of machine learning and AI, especially for the advancement of generative AI models. Models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) gain substantial benefits from diverse and abundant datasets. Augmentation techniques enrich training datasets, leading to models that generalize better and perform more […]