Feature maps (Activation maps): Difference between revisions
Mr. MacKenty (talk | contribs) (Created page with "<center> <blockquote style="padding: 5px; background-color: #FFF8DC; border: solid thin gray;"> File:Exclamation.png This is student work which has not yet been approve...") |
|||
Line 9: | Line 9: | ||
== Introduction == | == Introduction == | ||
The feature map is the output of one filter applied to the previous layer. A given filter is drawn across the entire previous layer, moved one pixel at a time. Each position results in an activation of the neuron and the output is collected in the feature map. You can see that if the receptive field is moved one pixel from activation to activation, then the field will overlap with the previous activation by (field width - 1) input values. | |||
<nowiki> | <nowiki> | ||
<ref> | <ref> https://www.quora.com/What-is-meant-by-feature-maps-in-convolutional-neural-networks </ref> | ||
</nowiki> | </nowiki> | ||
Revision as of 21:34, 6 April 2018
This is student work which has not yet been approved as correct by the instructor
![](/images/6/65/Studying.png)
Introduction[edit]
The feature map is the output of one filter applied to the previous layer. A given filter is drawn across the entire previous layer, moved one pixel at a time. Each position results in an activation of the neuron and the output is collected in the feature map. You can see that if the receptive field is moved one pixel from activation to activation, then the field will overlap with the previous activation by (field width - 1) input values.
<ref> https://www.quora.com/What-is-meant-by-feature-maps-in-convolutional-neural-networks </ref>
How does it work or a deeper look[edit]
- If you are discussing a THING YOU CAN TOUCH, you must explain how it works, and the parts it is made of. Google around for an "exploded technical diagram" of your thing, maybe like this example of an MRI It is likely you will reference outside links. Please attribute your work.
- If you are discussing a PROCESS OR ABSTRACT CONCEPT (like fuzzy logic) you must deeply explain how it works.
Examples[edit]
Please include some example of how your concept is actually used. Your example must include WHERE it is used, and WHAT IS BENEFIT of it being used.
Pictures, diagrams[edit]
Pictures and diagrams go a LONG way to helping someone understand a topic. Especially if your topic is a little abstract or complex. Using a picture or diagram is a two part process:
External links[edit]
- It would be helpful
- to include many links
- to other internet resources
- to help fellow students
- Please make sure the content is good
- and don't link to a google search results, please