File:Infinitely wide neural network.webm
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Original file (WebM audio/video file, VP8/Opus, length 8.0 s, 1,920 × 1,080 pixels, 9.87 Mbps overall)
Summary
| Description |
English: Left: a Bayesian neural network with two hidden layers, transforming a 3-dimensional input (bottom) into a two-dimensional output (top). Right: output probability density function induced by the random weights of the network. Video: as the width of the network increases, output distribution simplifies, ultimately converging to a multivariate normal in the infinite width limit. Note: the video is an artistic depiction of the progression, and not an actual simulation. |
| Date | |
| Source | https://ai.googleblog.com/2020/03/fast-and-easy-infinitely-wide-networks.html |
| Author | Tom Small |
Presented in https://iclr.cc/virtual_2020/poster_SklD9yrFPS.html
Licensing
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 00:50, 8 August 2020 | 8.0 s, 1,920 × 1,080 (9.41 MB) | wikimediacommons>NovakRoman | Use VP8 encoding instead of VP9 |
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