Receptive field: Difference between revisions

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== How does it work or a deeper look ==
== How does it work or a deeper look ==


The receptive field gathers information and sends the information to the neurons in the CNNs.
The receptive field gathers information and sends the information to the neurons in the CNNs. Rather than a more traditional neural network where every input neuron is linked to every other neuron at the first level, Receptive fields allow for "pre-processing" of just a certain grid (or part) of the input image.


== Examples ==  
== Examples ==  


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.
The Gaussian receptive fields are being used in test on cars to allow them to be detected. <ref> http://www.inase.org/library/2015/books/bypaper/MCSI/MCSI-42.pdf </ref>


== Pictures, diagrams ==
== Pictures, diagrams ==


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:
# [https://en.wikipedia.org/wiki/File:Conv_layers.png An image showing the arrangement of neurons in the CNN.]
 
# [https://upload.wikimedia.org/wikipedia/commons/thumb/8/8a/Conv_layers.png/184px-Conv_layers.png An image showing the receptive field and the CNN.]
# [https://www.mediawiki.org/wiki/Help:Managing_files upload a file]
# [https://www.mediawiki.org/wiki/Help:Images use the file on a wiki page]


== External links ==
== External links ==

Latest revision as of 11:56, 14 March 2018

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Case study notes[1]

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. Rather than a more traditional neural network where every input neuron is linked to every other neuron at the first level, Receptive fields allow for "pre-processing" of just a certain grid (or part) of the input image.

Examples[edit]

The Gaussian receptive fields are being used in test on cars to allow them to be detected. [4]

Pictures, diagrams[edit]

  1. An image showing the arrangement of neurons in the CNN.
  2. An image showing the receptive field and the CNN.

External links[edit]

References[edit]