darian-catalin-cucer / GAN Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

.A Generative Adversarial Network (GAN) is a deep learning architecture used to generate new data that resembles existing data. It consists of two neural networks, a generator and a discriminator, that are trained in competition with each other. The generator creates synthetic data, while the discriminator tries to distinguish between real.

0 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
kt.kt		kt.kt

Repository files navigation

Generative Adversarial Networks Android App

An open-source Android application that implements Generative Adversarial Networks (GANs) in Kotlin.

Features

User-friendly interface for defining and training GAN models
Implements various GAN architectures, such as DCGAN, WGAN, and more
Option to visualize the generator and discriminator loss over time

About

.A Generative Adversarial Network (GAN) is a deep learning architecture used to generate new data that resembles existing data. It consists of two neural networks, a generator and a discriminator, that are trained in competition with each other. The generator creates synthetic data, while the discriminator tries to distinguish between real.

ruby android kotlin java html algorithm algorithms cpp gradle gan algorithm-challenges gans algorithms-datastructures algorithms-and-data-structures ganshin-impact-helper ganshin-impact-aimbot

Report repository

Releases

No releases published

Packages

No packages published

Languages

Kotlin 100.0%