Generative Adversarial Networks and Its Applications in Biomedical Informatics

The basic Generative Adversarial Networks (GAN) model is composed of the input vector, generator, and discriminator. Among them, the generator and discriminator are implicit function expressions, usually implemented by deep neural networks. GAN can learn the generative model of any data distribution...

Ful tanımlama

Kaydedildi:
Detaylı Bibliyografya
Asıl Yazarlar: Lan Lan (Yazar), Lei You (Yazar), Zeyang Zhang (Yazar), Zhiwei Fan (Yazar), Weiling Zhao (Yazar), Nianyin Zeng (Yazar), Yidong Chen (Yazar), Xiaobo Zhou (Yazar)
Materyal Türü: Kitap
Baskı/Yayın Bilgisi: Frontiers Media S.A., 2020-05-01T00:00:00Z.
Konular:
Online Erişim:Connect to this object online.
Etiketler: Etiketle
Etiket eklenmemiş, İlk siz ekleyin!

Internet

Connect to this object online.

3rd Floor Main Library

Detaylı Erişim Bilgileri 3rd Floor Main Library
Yer Numarası: A1234.567
Kopya Bilgisi 1 Kütüphanede