DCGAN face generator 🧑.
The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.
Collection of generative models in Tensorflow
A Tensorflow 2.x implementation of Pix2pix GAN.https://arxiv.org/abs/1611.07004
This Repository consists of all deep learning projects which are Face Generation GAN, Bike sharing, Dog Breed Classifier, TV Script Generation.
Using a GAN implemented with Keras to generate images similar to the MNIST Dataset
Implementation of DCGAN in Tensorflow and Torch7
This repository contains a collection of deep learning implementations, experiments, and models developed for learning, research, and practical applications. It covers fundamental to advanced concepts in deep learning, including neural networks, model training, evaluation, and optimization techniques.
This project utilizes a Deep Convolutional Generative Adversarial Network (DCGAN) to generate realistic human face images based on the Flickr-Faces-HQ (FFHQ) dataset. By training a GAN on high-quality face images, the model learns to synthesize diverse and lifelike faces.
Implement of GAN with TensorFLow
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