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06 – Latent Variable Energy Based Models (LV-EBMs), training
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NYU Deep Learning SP21 - 06 – Latent Variable Energy Based Models (LV-EBMs), training

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This course includes

  • 47.3 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Course website: http://bit.ly/DLSP21-web Playlist: http://bit.ly/DLSP21-YouTube Speaker: Alfredo Canziani Chapters 00:00 – Welcome to class 01:11 – Zero Temperature Limit (ZTL) free energy recap 05:29 – (warmer) Free energy 15:42 – Infinite Temperature Limit 20:20 – Free energy, example y = Y[23] 25:22 – Free energy, example y = Y[10] 26:41 – Free energy, example y = (0, 0) 28:30 – Nomenclature and PyTorch 34:13 – Training! 35:44 – Loss functionals 46:09 – ZTL vs. varmer temperature training 49:50 – Conditional case 51:47 – Untrained model manifold 54:11 – Energy function E(x, y, z) 56:48 – Trained model manifold 59:54 – Learning the Decoder 1:01:15 – Choosing the latent size 1:03:02 – And that was it

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