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06 – Latent Variable Energy Based Models (LV-EBMs), training
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Classroom Contents
NYU Deep Learning - Fall 2022
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- 1 00 – Intro to NYU Deep Learning Fall 2022 playlist
- 2 03 – Inference with neural nets
- 3 05 – Classification, an energy perspective – Notation and introduction
- 4 06 – Classification, an energy perspective – Backprop and contrastive learning
- 5 07 – Classification, an energy perspective – PyTorch 5-step training code
- 6 05.1 – Latent Variable Energy Based Models (LV-EBMs), inference
- 7 06 – Latent Variable Energy Based Models (LV-EBMs), training
- 8 14 – From latent-variable EBM (K-means, sparse coding) to target prop to autoencoders, step-by-step
