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BITESIZE | Why is Bayesian Deep Learning so Powerful?

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Manage episode 517849621 series 2827094
Content provided by Alexandre Andorra. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandre Andorra or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s clip is from episode 144 of the podcast, with Maurizio Filippone.

In this conversation, Alex and Maurizio delve into the intricacies of Gaussian processes and their deep learning counterparts. They explain the foundational concepts of Gaussian processes, the transition to deep Gaussian processes, and the advantages they offer in modeling complex data.

The discussion also touches on practical applications, model selection, and the evolving landscape of machine learning, particularly in relation to transfer learning and the integration of deep learning techniques with Gaussian processes.

Get the full discussion here.


Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

Visit our Patreon page to unlock exclusive Bayesian swag ;)

Transcript

This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

  continue reading

180 episodes

Artwork
iconShare
 
Manage episode 517849621 series 2827094
Content provided by Alexandre Andorra. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandre Andorra or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Today’s clip is from episode 144 of the podcast, with Maurizio Filippone.

In this conversation, Alex and Maurizio delve into the intricacies of Gaussian processes and their deep learning counterparts. They explain the foundational concepts of Gaussian processes, the transition to deep Gaussian processes, and the advantages they offer in modeling complex data.

The discussion also touches on practical applications, model selection, and the evolving landscape of machine learning, particularly in relation to transfer learning and the integration of deep learning techniques with Gaussian processes.

Get the full discussion here.


Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!

Visit our Patreon page to unlock exclusive Bayesian swag ;)

Transcript

This is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.

  continue reading

180 episodes

All episodes

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