Multi-layer perceptron (MLP)

From Computer Science Wiki
Jump to: navigation, search

Exclamation.png This is student work which has not yet been approved as correct by the instructor

Case studyDevote time and attention to gaining knowledge of (an academic subject), especially by means of books notes[1]

Introduction

Multi-layer perceptrons are simply a type of neural networka group or system of interconnected people or things. consisting of at least 3 nodes. The input nodes, the hidden nodes, and the output nodes. Each node is a neuron that 'activates' and turns on the next node etc.

 <ref> https://en.wikipedia.org/wiki/Multilayer_perceptron</ref>
 

How does it work or a deeper look

  • Multi-layer perceptrons use backpropagation as part of their learning phase.
  • The nodes use a non-linear activation function (Basically they turn each other on)
  • MLP's are fully connected (each hidden node is connected to each input node etc.)


Mlp-network.png

External links

  • 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

References