[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["필요한 정보가 없음","missingTheInformationINeed","thumb-down"],["너무 복잡함/단계 수가 너무 많음","tooComplicatedTooManySteps","thumb-down"],["오래됨","outOfDate","thumb-down"],["번역 문제","translationIssue","thumb-down"],["샘플/코드 문제","samplesCodeIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-02-26(UTC)"],[[["GANs consist of two neural networks: a generator creating data and a discriminator evaluating its authenticity."],["The generator and discriminator are trained against each other, with the generator aiming to produce realistic data and the discriminator aiming to identify fake data."],["Through continuous training, the generator improves its ability to create realistic data, while the discriminator struggles more with differentiation."],["The ultimate goal is for the generator to create data so realistic that the discriminator cannot distinguish it from real data."]]],[]]
