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Summary
| Description |
English: Sketch of the information flow in the Neural Abstraction Pyramid.
This neural architecture for image interpretation was inspired by the visual cortex. Unlike feed-forward models such as LeNet, information flows also laterally between neighboring elements on the same level of abstraction and in a top-down direction from higher-layer representations to lower layers. This constitutes a hierarchical, recurrent, convolutional neural network that can iteratively resolve local ambiguities and recursively process video. |
| Date | |
| Source | Own work |
| Author | Sven Behnke |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 18:27, 23 September 2019 | | 1,343 × 782 (253 KB) | Sven Behnke | User created page with UploadWizard |
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