Can You Tell the Real People From the GAN Images?
ModelingGANsposted by Luke Coughlin April 19, 2019
What are GANs? GAN stands for Generative Adversarial Network, but the term is quickly becoming synonymous with the images created by these networks. This form of machine learning uses databases of images to create new, disconcertingly realistic fabrications. These images are then run through a second “adversarial” network which... Read more
Efficient, Simplistic Training Pipelines for GANs in the Cloud with Paperspace
Deep LearningModelingCloudGANsGenerative adversarial networksPaperspaceposted by Spencer Norris, ODSC October 31, 2018
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 “ the most interesting idea in the last 10 years in .” GANs (and, more generally,... Read more
The Power of Universal Latent Space In Medical Breakthroughs
ConferencesNLPConferencesposted by Elizabeth Wallace, ODSC May 22, 2019
The cost to develop new medicines has grown tremendously despite our computing and medical advances. Although we have a...
Problem Solving with Data for a Better Business
Accelerate AIposted by Kailen Santos May 22, 2019
When working with large datasets, the smallest anomalies can throw a wrench in predictive analysis. For example, if a...
The Complete Guide to Decision Trees (part 2)
Decision TreesMachine LearningMachine Learningposted by Diego Lopez Yse May 21, 2019
(See part 1 here.) Now you may ask yourself: how do DTs know which features to select and how...
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