A generative network which generates random paintings using a DC-GAN (Deep Convolutional Generative Adversarial Network)
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Updated
Jun 26, 2019 - Jupyter Notebook
A generative network which generates random paintings using a DC-GAN (Deep Convolutional Generative Adversarial Network)
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
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…
Training a DCGAN to generate new images of faces that look realistic as possible.
A PhotoReaslistic AI GAN model to generate photorealistic faces on a large scale
Deep convolutional generative adversarial networks (DCGANs) for generating fake faces with Tensorflow and Keras.
The combined method between applying the CNNs to GANs models is called Deep Convolutional Generative Adversarial Networks (DCGANs).
Regret Minimization Approach to training "Deep Convolution Generative Adversial Network" on MNIST Dataset.
GAN is one of the Deep Learning technique used to generate some new data from scratch. It runs in unsupervised way meaning that it can run without labelled by human. It will make the data based on the pattern that it learns.
Face generation project for the DLND, Project 5
Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.
Experiment on making of icons with a GAN
a Simple Deep Convolutional Generative Adversarial Network (DCGAN) Using Tensorflow
Udacitys project 5 for generating DCGAN
A repository showing the knowledge in some of the machine learning technologies there is.
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