File:Neural Abstraction Pyramid.jpg
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Summary[edit]
DescriptionNeural Abstraction Pyramid.jpg |
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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I, the copyright holder of this work, hereby publish it under the following license:
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Date/Time | Thumbnail | Dimensions | User | Comment | |
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current | 18:27, 23 September 2019 | 1,343 × 782 (253 KB) | Sven Behnke (talk | contribs) | User created page with UploadWizard |
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Orientation | Normal |
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Horizontal resolution | 72 dpi |
Vertical resolution | 72 dpi |
Software used | Adobe Photoshop CS2 Windows |
File change date and time | 22:46, 27 December 2016 |
Color space | sRGB |
Image width | 1,343 px |
Image height | 782 px |
Date and time of digitizing | 23:46, 27 December 2016 |
Date metadata was last modified | 23:46, 27 December 2016 |