How to Use t-SNE Effectively
Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading.
Although extremely useful for visualizing high-dimensional data, t-SNE plots can sometimes be mysterious or misleading.
Last week we hosted over a hundred and fifty AI practitioners in our offices for our first self-organizing conference on machine learning.
Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify…
A visual overview of neural attention, and the powerful extensions of neural networks being built on top of it.
Deep learning is an empirical science, and the quality of a group’s infrastructure is a multiplier on progress. Fortunately, today’s open-source ecosystem makes it possible for anyone to build great deep learning infrastructure.
The latest information about the Unconference is now available at the Unconference wiki, which will be periodically updated with more information for attendees.
In this second part of this series, we will look at some advanced techniques for model evaluation and techniques to estimate the uncertainty of our…
Impactful scientific work requires working on the right problems—problems which are not just interesting, but whose solutions matter.