all AI news
Create a Location Generator GAN
Jan. 19, 2022, 6:28 p.m. | Alexander Watson
Towards Data Science - Medium towardsdatascience.com
Train a FastCUT GAN on public location data from a few cities to predict realistic e-bike locations across the world
In this post, we will explore training a FastCUT Generative Adversarial Network (GAN) model on map data and public e-bike feeds from cities across the USA. We can then test the model’s ability to learn and generalize by predicting location data sets for cities across the world, including Tokyo. If you’d like to follow along, clone the example repo from …
computer vision editors pick gan neural networks pytorch synthetic data
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Data Scientist (m/f/x/d)
@ Symanto Research GmbH & Co. KG | Spain, Germany
Head of Data Science, Planning & Optimization
@ Mediabrands | Netherlands
Data Scientist
@ Telesign | Belgrade
Lead Data Engineer
@ Capital One | Plano, TX
Data Engineer - Sr. Consultant level
@ Visa | Bengaluru, India
AI Data Science Associate Director
@ Blend360 | Montevideo, United States