Stephen shares his journey into understanding Gans, sparked by a question during a talk in Nigeria. Initially skeptical about their application for data augmentation, he delves deeper into the mechanics of Gans and discovers the necessity of domain expertise in machine learning. His insights emphasize that effective ML solutions require a strong grasp of both the technology and the specific field of application.
