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GAN (Generative Adversarial Network) Explained in 3 mins !!
A generative adversarial network (GAN) is an Artificial Intelligence (AI) framework with two neural networks (Generator & Discriminator) competing against each other in an adversarial game to produce computer-generated data that resembles real-world data. It is the primary technology behind Generative Artificial Intelligence.
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🎲Topic: GAN (Generative adversarial network) ✏️GAN là gì? GAN là một thuật toán học không giám sát (Unsupersived Learning), trong đó bao gồm hai thành phần chính là Generator và Discriminator. 🍀⏱Discriminative network (mạng phân biệt): có nhiệm vụ cố gắng phân biệt giữa data thật và data giả mạo. 🍀⏱Generative network (mạng sinh): sinh ra data giả, và mục tiêu là làm sao cho sinh ra được các data giống với thật nhất, làm Discriminator không thể phân biệt nổi. Các sample được sinh dựa trên các
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