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hinton

The 20 most recent episodes and tracks on this topic, about 3.5 hours of it.

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  1. S3E91.0 Jamie Reports from the Middlesex County Superior Court, Calls To Throw out Every CaseRIGGEDLabs Podcast12:05Notes
  2. S3E90 July Evidentiary Hearings Day 3 Recap | Drug Labs Scandal UpdatesRIGGEDLabs Podcast16:15Notes
  3. S3E89 July Evidentiary Hearings Day 2 Recap | Crime Labs Scandal UpdatesRIGGEDLabs Podcast10:52Notes
  4. S3E88.0 July Evidentiary Hearings Recap with Jamie | Crime Labs Scandal UpdatesRIGGEDLabs Podcast7:04Notes
  5. HAPPY Fourth of July/HAPPY 250th! and, May God Always Bless America!RIGGEDLabs Podcast14:42Notes
  6. S3E85 "RIGGED:" PODCAST Sixth Anniversary This Month + Review, Recap of our first episodesRIGGEDLabs Podcast21:59Notes
  7. S3E84 The Podcast Sixth Anniversary This Month + Review, Recap of our first episodeRIGGEDLabs Podcast9:59Notes
  8. E3E83 Join us for Community, Advocacy, and Justice - Episode 83.0 of SEASON 3RIGGEDLabs Podcast13:36Notes
  9. E3E82 Review of The Massachusetts Breathalyzer Testing Scandal - Episode 82.0 of SEASON 3RIGGEDLabs Podcast1:23:43Notes
  10. E3E81 RIGGEDLabs Protective Awareness - Episode 81.0 of SEASON 3RIGGEDLabs Podcast19:38Notes
  11. Rob Fergus: "Deep Learning Methods for Vision, Pt. 1"GSS2012: Deep Learning, Feature LearningNotes
  12. Geoffrey Hinton: "Does the Brain do Inverse Graphics?"GSS2012: Deep Learning, Feature LearningNotes
  13. Rob Fergus: "Deep Learning Methods for Vision, Pt. 2"GSS2012: Deep Learning, Feature LearningNotes
  14. Alan Yuille: "Compositional Models"GSS2012: Deep Learning, Feature LearningNotes
  15. Geoffrey Hinton: "A Computational Principle that Explains Sex, the Brain, and Sparse Coding"GSS2012: Deep Learning, Feature LearningNotes
  16. Yann LeCun: "Deep Learning, Graphical Models, Energy-Based Models, Structured Prediction, Pt. 3"GSS2012: Deep Learning, Feature LearningNotes
  17. Geoffrey Hinton: "Some Applications of Deep Learning"GSS2012: Deep Learning, Feature LearningNotes
  18. Andrew Ng: "Non-linear Hypotheses, Pt. 2"GSS2012: Deep Learning, Feature LearningNotes
  19. Andrew Ng: "Non-linear Hypotheses, Pt. 1"GSS2012: Deep Learning, Feature LearningNotes
  20. Andrew Ng: "Advanced Topics + Research Philosophy / Neural Networks: Representation"GSS2012: Deep Learning, Feature LearningNotes