Receptive field: Difference between revisions
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== Introduction == | == Introduction == | ||
Receptive fields used in an artificial neural networks are similar to the biological explanation. They are a sensory neuron where a prompt, or stimulation, changes the action of the neuron.<ref> https://en.wikipedia.org/wiki/Receptive_field </ref> In other words, the fields gather information to be used by the neurons. They are used in relation to [https://en.wikipedia.org/wiki/Convolutional_neural_network convolutional neural networks (CNNs)]. The neurons are arranged in a [https:// | Receptive fields used in an artificial neural networks are similar to the biological explanation. They are a sensory neuron where a prompt, or stimulation, changes the action of the neuron.<ref> https://en.wikipedia.org/wiki/Receptive_field </ref> In other words, the fields gather information to be used by the neurons. They are used in relation to [https://en.wikipedia.org/wiki/Convolutional_neural_network convolutional neural networks (CNNs)]. The neurons are arranged in a [https://en.wikipedia.org/wiki/File:Conv_layers.png 3-D array]. | ||
== How does it work or a deeper look == | == How does it work or a deeper look == | ||
Revision as of 15:00, 21 August 2017
This is student work which has not yet been approved as correct by the instructor
Introduction[edit]
Receptive fields used in an artificial neural networks are similar to the biological explanation. They are a sensory neuron where a prompt, or stimulation, changes the action of the neuron.[2] In other words, the fields gather information to be used by the neurons. They are used in relation to convolutional neural networks (CNNs). The neurons are arranged in a 3-D array.
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