Udacitys project 5 for generating DCGAN
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Updated
Nov 17, 2017 - Jupyter Notebook
Udacitys project 5 for generating DCGAN
Face generation project for the DLND, Project 5
Code for training Generative Adversarial Networks (GANs) and evaluating the models' mode collapse
GAN in Tensorflow to be run via Linux command line
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.
This repository is containing my Jupyter files.
Using DCGAN for segmenting brain tumors from brain image scans
A DCGAN trained on MNIST dataset
Face Images generated using Deep Convolutional Generative Adversarial Networks
FlowerGAN : A DCGAN implementation in TensorFlow
Regret Minimization Approach to training "Deep Convolution Generative Adversial Network" on MNIST Dataset.
A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.
Adidas Hackathon Amsterdam 2018: Customize products with unique style transfer
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)
Train DCGAN with TPUs on Google Cloud
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