46 min listen
BI 006 Ryan Poplin: Deep Solutions
FromBrain Inspired
ratings:
Length:
37 minutes
Released:
Aug 25, 2018
Format:
Podcast episode
Description
[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?
Here’s a good summary. Here’s another good summary.
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 summary of the work
The code on Github
Mentioned in the show
Ryan Poplin
What is a convolutional neural network?
Here’s a good summary. Here’s another good summary.
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 summary of the work
The code on Github
Released:
Aug 25, 2018
Format:
Podcast episode
Titles in the series (100)
BI 005 David Sussillo: RNNs are Back!: Mentioned in the show: David’s Twitter account Papers we discuss: Sussillo, D.S. & Abbott, L. F. (2009). Generating Coherent Patterns of Activity from Chaotic Neural Networks. Neuron 63(4). Sussillo, D. (2014) Neural circuits as computational by Brain Inspired