Receptive field

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Case study notes

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. 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

The receptive field gathers information and sends the information to the neurons in the CNNs.

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.

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:

1. upload a file
2. use the file on a wiki page

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
• https://en.wikipedia.org/wiki/Convolutional_neural_network

Devote time and attention to gaining knowledge of (an academic subject), especially by means of books

a group or system of interconnected people or things.