PyTorch and variance estimation
We're experimenting with live streams!
In this live-stream Vincent will discuss mixture density networks and how you could make them in PyTorch. Eventually the goal is to turn this into a scikit-learn plugin but before we can get to that we have to establish some modelling groundwork. Should be a fun one if you're interested in getting creative with neural network architectures!
If you are interested in toying with the notebook from this episode, it can be found here:
https://github.com/probabl-ai/youtube...
This livestream is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media.
Website: https://probabl.ai/
LinkedIn: / probabl
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We also host a podcast called Sample Space, which you can find on your favourite podcast player. All the links can be found here:
https://rss.com/podcasts/sample-space/
If you're keen to see more videos like this, you can follow us over at @probabl_ai.
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