This technology opens up new opportunities for not just human interaction and entertainment but also in education.
Advances in the machine and deep learning in 2021 could lead to new technologies utilised by billions of people worldwide.
The basic premise of BigGAN is simple; scale-up GAN training to benefit from larger models and larger batches.
“Data is the new oil” is a maxim we have heard far too often. Data indeed has massive potential in the information economy and can bring tremendous value if made
MixNMatch is a conditional generative model that disentangles and encodes background, object pose, shape, and texture from real images with minimal supervision.
Face-to-Face translation is plagued by the novel problem of out-of-sync lips, LipGAN and Wave2Lip aim to solve this lip sync issue.
Anomaly Detection techniques have been widely used in data science and now with the rapid increase in temporal data, there has been a huge surge of researchers who are developing
The Association of Data Scientists, the premier global professional body of data science and machine learning practitioners, has come up with yet another full-day workshop on Generative Adversarial Networks (GANs)
The conditional generative adversarial networks are an extension of DCGANs where the images are generated based on a certain condition. The generation of images can be conditional on a class
Through this article, we will demonstrate how the Deep Convolutional GAN (DCGAN) can be used to generate the new car models when trained on the dataset having images of car
In this article, we will train the Deep Convolutional Generative Adversarial Network on Fashion MNIST training images in order to generate a new set of fashion apparel images.
As the whole world was welcoming a new year on the last day of 2018, the President of Gabon, too, like many world leaders, delivered a speech wishing his citizens
In a field like Computer Vision, which has been explored and studied for long, Generative Adversarial Network (GAN) was a recent addition which instantly became a new standard for training
At first glance, thispersondoesnotexist.com may look like nothing more than just a website that showcases random faces — but it’s not as simple as that. The website is proof of
Since the deep learning boom has started, numerous researchers have started building many architectures around neural networks. It is often speculated that the neural networks are inspired by neurons and
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