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NVIDIA Face Generator
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Design
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Generative Adversarial Network
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4:35
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Generative Adversarial Network (GAN) | GAN | Data Science | AI
One real time example of a generative adversarial network GAN is the generation of realistic images. 00:08 GAN's have been widely used to generate synthetic images that closely resemble real images. 00:14 For instance, consider the task of generating realistic human faces. 00:20 A GAN consists of two components, a generator and a discriminator ...
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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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