RE•WORK
  • Blog
  • Media
  • About us
  • Event calendar

GANs

A collection of 5 posts

Generative Models - Top Videos & New Papers
Generative Models Research

Generative Models - Top Videos & New Papers

For a model to be "Generative" must fit in a class of statistical models which contrast against discriminative models. Simply, a generative model is one that can generate new data after learning from the dataset. VAE’s & GANs are the most popular types of generative models....

  • Hollie Jaques
    Hollie Jaques
8 October 2020
‘Must-Read’ AI Papers Suggested by Experts - Pt 2
AI Papers

‘Must-Read’ AI Papers Suggested by Experts - Pt 2

We asked a group of our AI experts to suggest what they consider to be 'must-read' papers. See suggestions from Chief AI Scientists, ML Leads and more....

  • Luke Kenworthy
    Luke Kenworthy
13 August 2020
5 Applications of GANs - Video Presentations You Need To See
GANs

5 Applications of GANs - Video Presentations You Need To See

Are GANs the future of Machine Learning? We have collated five technical application presentations from DeepMind, NASA, MIT, Insitro and Université de Montréal to show the current methods utilised in industry....

  • Luke Kenworthy
    Luke Kenworthy
30 April 2020
Deep Learning Explained: An Insight into Drug Discovery & Medical Imaging
Medical Imaging

Deep Learning Explained: An Insight into Drug Discovery & Medical Imaging

Deep Learning has many uses, however, in this blog we focus on its use for medical imaging, drug discovery and the techniques utilised for both....

  • Sally Rock
    Sally Rock
7 April 2020
Imbalanced Data and Credit Card Fraud Detection
Insurance

Imbalanced Data and Credit Card Fraud Detection

In 2018, just under five million people fell victim to debit or credit card fraud in the UK - with over £2 billion stolen in total, averaging £833 per person. By 2025, the global losses to credit card fraud are expected to reach almost $50 billion....

  • Harry Keen
9 April 2019
RE•WORK Blog - AI & Deep Learning News © 2025
Latest Posts Facebook Twitter Ghost