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- Brain Inspired
- Publisher |
- Paul Middlebrooks
- Media Type |
- audio
- Podknife tags |
- Artificial Intelligence,
- Data Science,
- Interview,
- Machine Learning,
- Neuroscience,
- Philosophy,
- Psychology,
- Science & Medicine,
- Technology
- Publication Date |
- Aug 25, 2018
- Episode Duration |
- 00:37:16
Ryan and I go deep (pun intended) on convolutional neural networks and how he uses them to solve problems in medical risk factor discovery and improve genome sequencing, and more. Click the episode for the show notes
Ryan and I go deep (pun intended) on convolutional neural networks and how he uses them to solve problems in medical risk factor discovery and improve genome sequencing, and more. Click the episode for the show notes
[bctt tweet=”Check out episode 6 of the Brain Inspired podcast: Deep learning, eyeballs, and brains” username=”pgmid”]
Mentioned in the show
- Ryan Poplin
- What is a convolutional neural network?
- Deep learning on eye images: CV risk factors can be predicted from retinal fundus images
-
DeepVariant: Deep learning on genomics
- The paper: Creating a universal SNP and small indel variant caller with deep neural networks
- A nice, less technical highly-accurate-genomes.html">summary of the work
- The code on Github
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