File:Neural Abstraction Pyramid.jpg

Original file(1,343 × 782 pixels, file size: 253 KB, MIME type: image/jpeg)

Commons-logo.svg This is a file from the Wikimedia Commons. The description on its description page there is shown below.
Commons is a freely licensed media file repository. You can help.

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

Licensing

I, the copyright holder of this work, hereby publish it under the following license:
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

Information flow in the Neural Abstraction Pyramid

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeDimensionsUserComment
current11:27, 23 September 20191,343 × 782 (253 KB)Sven BehnkeUser created page with UploadWizard

The following page uses this file:

Metadata