TF v2.3.0 DCGAN implementation trained on Anime face dataset.

A PhotoReaslistic AI GAN model to generate photorealistic faces on a large scale

This model is basically used for deep learning.In this models i have used DCGANs and it are more powerful then ordinary GANs. Output image are saved at every 100 epochs which are stored in gan_images folder. Well I had not uploaded every images in it.Images within 9000 epochs are included in it. It will take almost 1 or 2 days to learn or to tra…

Adidas Hackathon Amsterdam 2018: Customize products with unique style transfer

Create new and unseen Anime faces using Generative Adversarial Networks (Gans) Model implemented using Tensorlow and Python

Generating high-resolution adversarial images with GAN

TensorFlow implementation of DCGAN

The Lentach logo generator. #MachineLearningFun

GAN example

Fake face generation using DCGAN

Experiment on making of icons with a GAN

Conditional face generation experiments using GAN models on CelebA dataset.

Damaged image restauration using a GAN model with a U-Net with skip connection autoencoder as a generator

This repository explains how to train DCGAN with own dataset based on

Using DCGAN and Ensemble Learning to classify the difference of the disease of different mangoes.

DCNAN论文的实现（参考大神的代码，基本只是自己把大神代码重新理解了一遍）

In this script, we use Deep Convolutional Generative Adversarial Networks (DCGANs) to generate new images that resemble CIFAR10 dataset images.

Create images of Pokemon using a Deep Convolutional Generative Adversarial Network.