Ricardo García Ramírez100 days of Data Science: Day 86 — Generative Adversarial Networks (GANs)Generative Adversarial Networks (GANs) are a class of deep learning models that generate new data that resembles a given dataset.Dec 5
Andrew Skabar, PhDGenerating Realistic Synthetic Financial Time SeriesA non-parametric approach using weighted, variable-width kernels to estimate conditional PDFsAug 30
Marco Del PraGenerative Adversarial NetworksGenerative Adversarial Networks (GANs) have garnered significant attention in the field of Artificial Intelligence, not just for their…Oct 30, 20232Oct 30, 20232
Souhardya ChowdhuryLearning GANs: My Hands-On Project with the MNIST DatasetGenerative Adversarial Networks (GANs) are one of the most exciting breakthroughs in deep learning. They’ve redefined how we think about…Dec 3Dec 3
InThe GeneratorbyMoshe Sipper, Ph.D.Real, Fake, Attack?When deepfake detectors are attacked.Mar 132Mar 132
Ricardo García Ramírez100 days of Data Science: Day 86 — Generative Adversarial Networks (GANs)Generative Adversarial Networks (GANs) are a class of deep learning models that generate new data that resembles a given dataset.Dec 5
Andrew Skabar, PhDGenerating Realistic Synthetic Financial Time SeriesA non-parametric approach using weighted, variable-width kernels to estimate conditional PDFsAug 30
Marco Del PraGenerative Adversarial NetworksGenerative Adversarial Networks (GANs) have garnered significant attention in the field of Artificial Intelligence, not just for their…Oct 30, 20232
Souhardya ChowdhuryLearning GANs: My Hands-On Project with the MNIST DatasetGenerative Adversarial Networks (GANs) are one of the most exciting breakthroughs in deep learning. They’ve redefined how we think about…Dec 3
Dev Shahbuild a GAN with me! step-by-step guide on understanding a GAN from scratch!This article goes over what GANs are, how they work, how to implement them from scratch in python & using them on a sample dataset!Jun 182
InSelf Study NotesbyCevher DoganWhat is DGAN (Dynamically Adaptive Generative Adversarial Network)?Following up my recent post in Self Study Notes publicationDec 2
InTowards Data SciencebyIan StebbinsEnhancing Cancer Detection with StyleGAN-2 ADAData augmentation for data-deficient deep neural networks.Jan 22
