A generative network which generates random paintings using a DC-GAN (Deep Convolutional Generative Adversarial Network)

A Deep Convolutional Generative Adversarial Network to generate Faces of Anime Characters

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

A study of the use of the Tensorflow GradientTape class for differentiation and custom gradient generation along with its use to implement a Deep-Convolutional Generative Adversarial Network (GAN) to generate images of hand-written digits.

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

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

DCGAN to generate cat pictures

A DCGAN implementation in tensorflow 2.0, trained on cartoonset100k dataset

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…

Deep Learning on Weld Image Generation using DCGAN and BAGAN-GP

Training a DCGAN to generate new images of faces that look realistic as possible.

The Lentach logo generator. #MachineLearningFun

An implementation of DCGAN in Keras on Tensorflow backend, to generate high-quality synthetic images from real images.

Deep convolutional generative adversarial networks (DCGANs) for generating fake faces with Tensorflow and Keras.

Understanding GAN's

Fake Face Generation using DCGAN

The combined method between applying the CNNs to GANs models is called Deep Convolutional Generative Adversarial Networks (DCGANs).

TensorFlow implementation of DCGAN