- What is Adversarial Neural Cryptography? - Apr 22, 2021.
The novel approach combines GANs and cryptography in a single, powerful security method.
Adversarial, AI, Cryptography, GANs, Security
- An overview of synthetic data types and generation methods - Feb 22, 2021.
Synthetic data can be used to test new products and services, validate models, or test performances because it mimics the statistical property of production data. Today you'll find different types of structured and unstructured synthetic data.
Autoencoder, GANs, Generative Adversarial Network, Synthetic Data
- Adversarial generation of extreme samples - Feb 2, 2021.
In order to mitigate risks when modelling extreme events, it is vital to be able to generate a wide range of extreme, and realistic, scenarios. Researchers from the National University of Singapore and IIT Bombay have developed an approach to do just that.
AI, GANs, Generative Adversarial Network, Generative Models, Sampling
- The Insiders’ Guide to Generative and Discriminative Machine Learning Models - Sep 18, 2020.
In this article, we will look at the difference between generative and discriminative models, how they contrast, and one another.
Deep Learning, GANs, Generative Adversarial Network, Modeling
Deep Learning’s Most Important Ideas - Sep 14, 2020.
In the field of deep learning, there continues to be a deluge of research and new papers published daily. Many well-adopted ideas that have stood the test of time provide the foundation for much of this new work. To better understand modern deep learning, these techniques cover the basic necessary knowledge, especially as a starting point if you are new to the field.
Attention, Deep Learning, GANs, History, ImageNet, Reinforcement Learning, Transformer
- AI Papers to Read in 2020 - Sep 10, 2020.
Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.
AI, Attention, Convolutional Neural Networks, Data Science, GANs, Neural Networks, Reformer, Research
- Microsoft Research Unveils Three Efforts to Advance Deep Generative Models - May 4, 2020.
Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.
GANs, Generative Adversarial Network, Microsoft, Microsoft Research
- Build an app to generate photorealistic faces using TensorFlow and Streamlit - Apr 7, 2020.
We’ll show you how to quickly build a Streamlit app to synthesize celebrity faces using GANs, Tensorflow, and st.cache.
App, GANs, Generative Adversarial Network, Python, Streamlit, TensorFlow
- Generate Realistic Human Face using GAN - Mar 10, 2020.
This article contain a brief intro to Generative Adversarial Network(GAN) and how to build a Human Face Generator.
GANs, Generative Adversarial Network, Neural Networks, Python
- Semi-supervised learning with Generative Adversarial Networks - Jan 24, 2020.
The paper discussed in this post, Semi-supervised learning with Generative Adversarial Networks, utilizes a GAN architecture for multi-label classification.
GANs, Generative Adversarial Network, Supervised Learning
- Intro to Adversarial Machine Learning and Generative Adversarial Networks - Oct 23, 2019.
In this crash course on GANs, we explore where they fit into the pantheon of generative models, how they've changed over time, and what the future has in store for this area of machine learning.
Adversarial, AI, GANs, Generative Adversarial Network, Machine Learning
- Graduating in GANs: Going From Understanding Generative Adversarial Networks to Running Your Own - Apr 25, 2019.
Read how generative adversarial networks (GANs) research and evaluation has developed then implement your own GAN to generate handwritten digits.
Pages: 1 2
Deep Learning, GANs, Generative Adversarial Network, Generative Models, MNIST, Neural Networks, Python
- Generative Adversarial Networks – Key Milestones and State of the Art - Apr 24, 2019.
We provide an overview of Generative Adversarial Networks (GANs), discuss challenges in GANs learning, and examine two promising GANs: the RadialGAN, designed for numbers, and the StyleGAN, which does style transfer for images.
GANs, Generative Adversarial Network, NVIDIA
- The Rise of Generative Adversarial Networks - Apr 19, 2019.
A comprehensive overview of Generative Adversarial Networks, covering its birth, different architectures including DCGAN, StyleGAN and BigGAN, as well as some real-world examples.
Art, Deepfakes, GANs, Generative Adversarial Network, Ian Goodfellow
- Which Face is Real? - Apr 2, 2019.
Which Face Is Real? was developed based on Generative Adversarial Networks as a web application in which users can select which image they believe is a true person and which was synthetically generated. The person in the synthetically generated photo does not exist.
Deep Learning, GANs, Generative Adversarial Network, Neural Networks, NVIDIA, Python
My favorite mind-blowing Machine Learning/AI breakthroughs - Mar 14, 2019.
We present some of our favorite breakthroughs in Machine Learning and AI in recent times, complete with papers, video links and brief summaries for each.
AI, AlphaStar, GANs, Generative Adversarial Network, Machine Learning, Machine Translation, Reinforcement Learning, Robots
- GANs Need Some Attention, Too - Mar 5, 2019.
Self-Attention Generative Adversarial Networks (SAGAN; Zhang et al., 2018) are convolutional neural networks that use the self-attention paradigm to capture long-range spatial relationships in existing images to better synthesize new images.
AISC, Attention, Deep Learning, GANs, Image Generation, Machine Learning
- Generative Adversarial Networks – Paper Reading Road Map - Oct 24, 2018.
To help the others who want to learn more about the technical sides of GANs, I wanted to share some papers I have read in the order that I read them.
GANs, Generative Adversarial Network, Neural Networks
Only Numpy: Implementing GANs and Adam Optimizer using Numpy - Aug 6, 2018.
This post is an implementation of GANs and the Adam optimizer using only Python and Numpy, with minimal focus on the underlying maths involved.
GANs, Generative Adversarial Network, Neural Networks, numpy, Optimization, Python
- GANs in TensorFlow from the Command Line: Creating Your First GitHub Project - May 16, 2018.
In this article I will present the steps to create your first GitHub Project. I will use as an example Generative Adversarial Networks.
GANs, Generative Adversarial Network, GitHub, Neural Networks, Python, Rubens Zimbres, TensorFlow
- Overview of GANs (Generative Adversarial Networks) – Part I - Nov 10, 2017.
A great introductory and high-level summary of Generative Adversarial Networks.
Deep Learning, GANs, Generative Adversarial Network, Neural Networks
- MNIST Generative Adversarial Model in Keras - Jul 19, 2016.
This post discusses and demonstrates the implementation of a generative adversarial network in Keras, using the MNIST dataset.
GANs, Generative Models, Keras, MNIST
