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07 – Unsupervised learning: autoencoding the targets
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NYU Deep Learning SP21 - 07 – Unsupervised learning: autoencoding the targets

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21 learners

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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: Yann LeCun, Alfredo Canziani Chapters 00:00 – 2021 edition disclaimer 02:28 – Unsupervised learning and generative models 05:42 – Input space interpolation 08:24 – Latent space interpolation 10:54 – Conditional generative networks 13:37 – Style transfer 16:21 – Super resolution 21:37 – Inpainting 23:19 – Caption to image (Dall-e) 28:24 – Definitions: x, y, z 31:27 – Recap: conditional latent variable EBM 32:12 – Recap: energy function 32:39 – Softmin training recap → autoencoder via amortised inference 38:40 – Reconstruction energies 39:24 – Loss functional 43:59 – Under and over complete hidden layer 48:58 – Denoising autoencoder 54:28 – Nearest neighbourhood denoising autoencoder 55:00 – Sparse autoencoder 55:20 – Final remarks

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