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Multilayer perceptron

Multilayer perceptron

A feedforward neural network with different layers, a supervised learning algorithm.

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Edits on 5 Jun 2018
Tianchang He
Tianchang He edited on 5 Jun 2018 8:49 pm
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Further reading (+10/-10 characters)

Further reading

Author
Title
Link
Type

Marius-Constantin Popescu, Valentina Balas, Liliana Perescu-Popescu and Nikos Mastoraki

Multilayer Perceptron and Neural Networks

Academic Paperpaper

Prof. Dr. Martin Riedmiller

Machine Learning:Multi Layer Perceptrons

Academic Paperpaper

Edits on 1 Jun 2018
Golden AI"Merging standard tables"
Golden AI edited on 1 Jun 2018 3:35 am
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Academic papers (-3 rows) (-7 cells) (-346 characters)
Further reading (+2 rows) (+8 cells) (+374 characters)

Academic papers

Author
Title
Link

Marius-Constantin Popescu, Valentina Balas, Liliana Perescu-Popescu and Nikos Mastoraki

Multilayer Perceptron and Neural Networks

Prof. Dr. Martin Riedmiller

Machine Learning:Multi Layer Perceptrons





Further reading

Author
Title
Link
Type

Marius-Constantin Popescu, Valentina Balas, Liliana Perescu-Popescu and Nikos Mastoraki

Multilayer Perceptron and Neural Networks

Academic Paper

Prof. Dr. Martin Riedmiller

Machine Learning:Multi Layer Perceptrons

Academic Paper

Edits on 15 Apr 2018
Tianchang He
Tianchang He edited on 15 Apr 2018 5:01 am
Edits made to:
Academic papers (+151/-151 characters)

Academic papers

Author
Title
Link

Marius-Constantin Popescu, Valentina Balas, Liliana Perescu-Popescu and Nikos Mastoraki

Multilayer Perceptron and Neural Networks

Prof. Dr. Martin Riedmiller

Machine Learning:Multi Layer Perceptrons

Edits on 13 Mar 2018
Dave Hrdlička
Dave Hrdlička edited on 13 Mar 2018 10:37 pm
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Article (+19/-19 characters)

Article

Multilayer perceptron is the most frequently used type of neural network. Its architecture is called feedforward, the signals in the network are transmitted in one direction, input to output. It is a supervised learningsupervised learning algorithm.

Edits on 1 Feb 2018
Melanie Manipula
Melanie Manipula edited on 1 Feb 2018 7:42 pm
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Article (+861 characters)
Academic papers (+3 rows) (+4 cells) (+195 characters)
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Multilayer perceptron

A feedforward neural network with different layers, a supervised learning algorithm.

Article

Multilayer perceptron is the most frequently used type of neural network. Its architecture is called feedforward, the signals in the network are transmitted in one direction, input to output. It is a supervised learning algorithm.



Learning takes place in the perceptron. Input data processed, the results are compared to the amount of error in the output and the changed weights. This supervised learning is carried through backpropagation.



A multilayer perceptron consists of different layers. The input layer transmits the input signals. Hidden layer is found between the input and output layers, it processes the signals sent by the input and there can be more than one hidden layer in a network. And the results after processing are found on the output layer. It generates decision areas and increases the computing ability compared to single layer networks.



Academic papers

Author
Title
Link

Marius-Constantin Popescu, Valentina Balas, Liliana Perescu-Popescu and Nikos Mastoraki

Multilayer Perceptron and Neural Networks

Prof. Dr. Martin Riedmiller

Machine Learning:Multi Layer Perceptrons





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Edits on 1 Jan 2017
Golden AI"Initial topic creation"
Golden AI created this topic on 1 Jan 2017 12:00 am
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 Multilayer perceptron

A feedforward neural network with different layers, a supervised learning algorithm.

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