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Research into machine learning and reasoning
Often involving neural networks, graphs and coffee
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Machine learning on Graphs course: Pre-requisites
Machine learning on Graphs course: Pre-requisites
(This is part of a four part course hosted by Octavian.ai this summer)
David Mack
Apr 18
How to use the Learning Rate Finder in TensorFlow
How to use the Learning Rate Finder in TensorFlow
When working with neural networks, every data scientist must make an important choice: the learning rate. If you have the wrong learning…
Ashwath Salimath
Apr 9
Calls for research
Calls for research
During our work at Octavian, we’ve come across a range of problems that we’d love to see more work focussed on. We’re sharing this list…
David Mack
Mar 30
A simple explanation of the Inception Score
A simple explanation of the Inception Score
The Inception score (IS) is a popular metric for judging the image outputs of Generative Adversarial Networks (GANs).
David Mack
Mar 6
Finding shortest paths with Graph Networks
Finding shortest paths with Graph Networks
In this article we show how a Graph Network with attention read and write can perform shortest path calculations. This network performs…
David Mack
Jan 7
How to get started with machine learning on graphs
How to get started with machine learning on graphs
A practical overview of graph machine learning approaches and how to apply them to your work
David Mack
Dec 6, 2018
Deep Learning with Knowledge Graphs
Deep Learning with Knowledge Graphs
Last week I gave a talk at Connected Data London on the approach that we have developed at Octavian to use neural networks to perform…
Andrew Jefferson
Nov 13, 2018
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