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is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN?



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow are 1x1 convolutions the same as a fully connected layer?Are there more layer types like convolution layers and fully connected layers?Right way to Fine Tune - Train a fully connected layer as a separate stepHow ann is used for classification?Is there an intuitive explanation why some neural networks have more than one fully connected layers?How do you know if your Autoencoder network is fully connected?Bias of 1 in fully connected layers introduced dying relu problemFully connected layer in deep learningimage recognition: fully connected network vs CNN1x1 convolutions, equivalence with fully connected layer










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is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?










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  • 3




    $begingroup$
    Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
    $endgroup$
    – ignatius
    Apr 2 at 14:51















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$begingroup$


is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?










share|improve this question









$endgroup$







  • 3




    $begingroup$
    Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
    $endgroup$
    – ignatius
    Apr 2 at 14:51













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0








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$begingroup$


is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?










share|improve this question









$endgroup$




is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?







machine-learning neural-network






share|improve this question













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asked Apr 2 at 14:43









Vinay SharmaVinay Sharma

61




61







  • 3




    $begingroup$
    Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
    $endgroup$
    – ignatius
    Apr 2 at 14:51












  • 3




    $begingroup$
    Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
    $endgroup$
    – ignatius
    Apr 2 at 14:51







3




3




$begingroup$
Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
$endgroup$
– ignatius
Apr 2 at 14:51




$begingroup$
Any Neural Network which is not in a living being is artificial. A "fully connected" is a type of layer of an Artificial Neural Network, as well as convolutional layers, recurrent layers and so on...
$endgroup$
– ignatius
Apr 2 at 14:51










3 Answers
3






active

oldest

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2












$begingroup$

No, the word artificial in this context is only used to separate the neural networks we build from the natural/biological neural networks that they are loosely based on. But in the realm of data science you can basically use NN and ANN interchangeably and fully connected layers are irrelevant to the terms.



Here is a hierarchy that might make things clearer:



Neural Network
├── Natural Neural Network
| ├── Brain (Not fully connected)
| └── ...
└── Artificial Neural Network
├── Dense Neural Network (Fully connected)
├── Convolutional Neural Network (Not fully connected)
├── Recurrent Neural Network (Not fully connected)
└── ...





share|improve this answer











$endgroup$




















    0












    $begingroup$

    No, there are other kinds of networks such as :



    1. RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network

    2. CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network





    share|improve this answer









    $endgroup$




















      0












      $begingroup$

      No, you can have fully connected or partial connected and will still be ANN. In Artificial Inteligence (AI) the term NN and ANN are used interchangeably and doesn't matter the topology. As a reference the chart below does provide part of topology follow under NN or correctly saying ANN umbrella.




      Note: NN and ANN differ only when describe the source of the Neural Neurons so NN is definition/notation in biology field and ANN is the Artificial Intelligence field.




       Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies



      The mostly complete chart of Neural Networks, explained






      share|improve this answer











      $endgroup$













        Your Answer








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        3 Answers
        3






        active

        oldest

        votes








        3 Answers
        3






        active

        oldest

        votes









        active

        oldest

        votes






        active

        oldest

        votes









        2












        $begingroup$

        No, the word artificial in this context is only used to separate the neural networks we build from the natural/biological neural networks that they are loosely based on. But in the realm of data science you can basically use NN and ANN interchangeably and fully connected layers are irrelevant to the terms.



        Here is a hierarchy that might make things clearer:



        Neural Network
        ├── Natural Neural Network
        | ├── Brain (Not fully connected)
        | └── ...
        └── Artificial Neural Network
        ├── Dense Neural Network (Fully connected)
        ├── Convolutional Neural Network (Not fully connected)
        ├── Recurrent Neural Network (Not fully connected)
        └── ...





        share|improve this answer











        $endgroup$

















          2












          $begingroup$

          No, the word artificial in this context is only used to separate the neural networks we build from the natural/biological neural networks that they are loosely based on. But in the realm of data science you can basically use NN and ANN interchangeably and fully connected layers are irrelevant to the terms.



          Here is a hierarchy that might make things clearer:



          Neural Network
          ├── Natural Neural Network
          | ├── Brain (Not fully connected)
          | └── ...
          └── Artificial Neural Network
          ├── Dense Neural Network (Fully connected)
          ├── Convolutional Neural Network (Not fully connected)
          ├── Recurrent Neural Network (Not fully connected)
          └── ...





          share|improve this answer











          $endgroup$















            2












            2








            2





            $begingroup$

            No, the word artificial in this context is only used to separate the neural networks we build from the natural/biological neural networks that they are loosely based on. But in the realm of data science you can basically use NN and ANN interchangeably and fully connected layers are irrelevant to the terms.



            Here is a hierarchy that might make things clearer:



            Neural Network
            ├── Natural Neural Network
            | ├── Brain (Not fully connected)
            | └── ...
            └── Artificial Neural Network
            ├── Dense Neural Network (Fully connected)
            ├── Convolutional Neural Network (Not fully connected)
            ├── Recurrent Neural Network (Not fully connected)
            └── ...





            share|improve this answer











            $endgroup$



            No, the word artificial in this context is only used to separate the neural networks we build from the natural/biological neural networks that they are loosely based on. But in the realm of data science you can basically use NN and ANN interchangeably and fully connected layers are irrelevant to the terms.



            Here is a hierarchy that might make things clearer:



            Neural Network
            ├── Natural Neural Network
            | ├── Brain (Not fully connected)
            | └── ...
            └── Artificial Neural Network
            ├── Dense Neural Network (Fully connected)
            ├── Convolutional Neural Network (Not fully connected)
            ├── Recurrent Neural Network (Not fully connected)
            └── ...






            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Apr 3 at 6:07

























            answered Apr 2 at 15:59









            Simon LarssonSimon Larsson

            925214




            925214





















                0












                $begingroup$

                No, there are other kinds of networks such as :



                1. RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network

                2. CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network





                share|improve this answer









                $endgroup$

















                  0












                  $begingroup$

                  No, there are other kinds of networks such as :



                  1. RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network

                  2. CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network





                  share|improve this answer









                  $endgroup$















                    0












                    0








                    0





                    $begingroup$

                    No, there are other kinds of networks such as :



                    1. RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network

                    2. CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network





                    share|improve this answer









                    $endgroup$



                    No, there are other kinds of networks such as :



                    1. RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network

                    2. CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network






                    share|improve this answer












                    share|improve this answer



                    share|improve this answer










                    answered Apr 2 at 14:52









                    Shamit VermaShamit Verma

                    1,6191414




                    1,6191414





















                        0












                        $begingroup$

                        No, you can have fully connected or partial connected and will still be ANN. In Artificial Inteligence (AI) the term NN and ANN are used interchangeably and doesn't matter the topology. As a reference the chart below does provide part of topology follow under NN or correctly saying ANN umbrella.




                        Note: NN and ANN differ only when describe the source of the Neural Neurons so NN is definition/notation in biology field and ANN is the Artificial Intelligence field.




                         Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies



                        The mostly complete chart of Neural Networks, explained






                        share|improve this answer











                        $endgroup$

















                          0












                          $begingroup$

                          No, you can have fully connected or partial connected and will still be ANN. In Artificial Inteligence (AI) the term NN and ANN are used interchangeably and doesn't matter the topology. As a reference the chart below does provide part of topology follow under NN or correctly saying ANN umbrella.




                          Note: NN and ANN differ only when describe the source of the Neural Neurons so NN is definition/notation in biology field and ANN is the Artificial Intelligence field.




                           Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies



                          The mostly complete chart of Neural Networks, explained






                          share|improve this answer











                          $endgroup$















                            0












                            0








                            0





                            $begingroup$

                            No, you can have fully connected or partial connected and will still be ANN. In Artificial Inteligence (AI) the term NN and ANN are used interchangeably and doesn't matter the topology. As a reference the chart below does provide part of topology follow under NN or correctly saying ANN umbrella.




                            Note: NN and ANN differ only when describe the source of the Neural Neurons so NN is definition/notation in biology field and ANN is the Artificial Intelligence field.




                             Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies



                            The mostly complete chart of Neural Networks, explained






                            share|improve this answer











                            $endgroup$



                            No, you can have fully connected or partial connected and will still be ANN. In Artificial Inteligence (AI) the term NN and ANN are used interchangeably and doesn't matter the topology. As a reference the chart below does provide part of topology follow under NN or correctly saying ANN umbrella.




                            Note: NN and ANN differ only when describe the source of the Neural Neurons so NN is definition/notation in biology field and ANN is the Artificial Intelligence field.




                             Fjodor van Veen from Asimov institute compiled a wonderful cheatsheet on NN topologies



                            The mostly complete chart of Neural Networks, explained







                            share|improve this answer














                            share|improve this answer



                            share|improve this answer








                            edited Apr 2 at 20:38

























                            answered Apr 2 at 20:14









                            n1tkn1tk

                            413210




                            413210



























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