Receptive field: Difference between revisions
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== External links == | == External links == | ||
* | * http://www.inase.org/library/2015/books/bypaper/MCSI/MCSI-42.pdf | ||
* | * https://en.wikipedia.org/wiki/Receptive_field | ||
* | * https://en.wikipedia.org/wiki/Receptive_field#In_the_context_of_neural_networks | ||
* | * bhttps://en.wikipedia.org/wiki/Convolutional_neural_network | ||
== References == | == References == | ||
Revision as of 14:12, 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. [3]
How does it work or a deeper look[edit]
The receptive field gathers information and sends the information to the neurons in the CNNs.
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]
- http://www.inase.org/library/2015/books/bypaper/MCSI/MCSI-42.pdf
- https://en.wikipedia.org/wiki/Receptive_field
- https://en.wikipedia.org/wiki/Receptive_field#In_the_context_of_neural_networks
- bhttps://en.wikipedia.org/wiki/Convolutional_neural_network