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Who Else Wants to Know the Mystery Behind GANs?
Generative adversarial networks (GANs) are one of the newer machine learning algorithms that data scientists are tapping into. When I first heard it, I wondered how can networks be adversarial? I envisioned networks with swords drawn going at it. Close… but I can assure you that no networks were harmed... Read more
GANs: A Brief Theory and Practice, and Image-to-Image Conversion with Pix2Pix
Editor’s note: Ajay is a speaker for ODSC West 2021. Be sure to check out his talk, “GANs: Theory and Practice, Image Synthesis With GANs Using TensorFlow”  to go beyond Pix2Pix there! There are prerequisites for making the most out of this blog. The reader should be familiar with deep... Read more
NVIDIA Makes Training GANs Easier with Fewer Images
NVIDIA is closing out 2020 on a strong note with a new method for training GANs that requires significantly less data than current methods. Instead of using hundreds of thousands of images to train efficient GANs with high rates of accuracy, their new technique, adaptive discriminator augmentation (ADA), requires only... Read more
Generating Images with Just Noise Using GANs
GAN stands for Generative Adversarial Network, which is essentially applying game theory and putting a couple of artificial neural networks to compete with each other while they are trained at the same time. One network tries to generate the image and the other tries to detect if it is real... Read more
Using GANs to Generate Images of Race Cars
Have you ever stood in a packed crowd, seen heatwaves rippling off the pavement and felt the roar of cars flying past you? No? I’m guessing that the overlap of ODSC blog readers and car racing fans might be small. However, those roaring cars do present some interesting data science... Read more
Latest Developments in GANs
Generative adversarial networks (GANs) is a compelling technology that’s widely considered one of the most interesting developments in AI and deep learning in the past decade. This article provides an overview of the ODSC West 2018 talk “Latest Developments in GANs,” presented by Seth Weidman of Facebook. The presentation is... Read more
6 Unique GANs Use Cases
Generative Adversarial Networks are transforming what we’re able to do with neural networks, and it’s unfortunate that almost all the press goes to those wildly accurate facial constructions like that of This Person Does Not Exist. GANs have some incredible potential so let’s take a look at some really unique... Read more
Efficient, Simplistic Training Pipelines for GANs in the Cloud with Paperspace
Generative adversarial networks — GANs for short — are making waves in the world of machine learning. Yann LeCun, a legend in the deep learning community, said in a Quora post “[GANs are] the most interesting idea in the last 10 years in [machine learning].” [Related Article: GANs explained. Generative... Read more
GANs explained. Generative Adversarial Networks applied to Generating Images
Editor’s note: Guest post co-writer Keshav Dhandhania.  In this article, I’ll talk about Generative Adversarial Networks, or GANs for short. GANs are one of the very few machine learning techniques which has given good performance for generative tasks, or more broadly unsupervised learning. In particular, they have given splendid performance... Read more
ODSC APAC 2023 Now Available to Watch On-Demand
Last week, thousands of data scientists gathered from around the world to learn, grow, and connect at ODSC APAC Virtual. Now that the conference has concluded, we’re excited to share with you some of the top sessions, now available on demand. Check them out below.  Leveraging Recommender Systems for Maximizing... Read more