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slideserve.com
Generative Adversarial Networks (GANs) and their Applications in Deep Learning - SlideServe
The main idea behind GANs is to train a generator network to generate synthetic data samples that are nearly indistinguishable from real data while concurrently training a discriminator network to discern between genuine and false data. To know more in detail about GANs, check out Deep learning online training now.
Jun 22, 2023
Generative adversarial network GAN Tutorial
Apa itu Generative Adversarial Networks (GAN)? | IBM
ibm.com
2 months ago
What are Generative Adversarial Networks (GANs) | Simplilearn
simplilearn.com
Oct 1, 2024
1:46
🎲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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