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?
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 ?
machine-learning neural-network
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add a comment |
$begingroup$
is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?
machine-learning neural-network
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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...
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– ignatius
Apr 2 at 14:51
add a comment |
$begingroup$
is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?
machine-learning neural-network
$endgroup$
is it necessary for Artificial NN to be fully connected or only fully connected NN is called ANN ?
machine-learning neural-network
machine-learning neural-network
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
add a comment |
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
add a comment |
3 Answers
3
active
oldest
votes
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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)
└── ...
$endgroup$
add a comment |
$begingroup$
No, there are other kinds of networks such as :
- RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network
- CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network
$endgroup$
add a comment |
$begingroup$
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
andANN
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.
The mostly complete chart of Neural Networks, explained
$endgroup$
add a comment |
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3 Answers
3
active
oldest
votes
3 Answers
3
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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)
└── ...
$endgroup$
add a comment |
$begingroup$
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)
└── ...
$endgroup$
add a comment |
$begingroup$
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)
└── ...
$endgroup$
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)
└── ...
edited Apr 3 at 6:07
answered Apr 2 at 15:59
Simon LarssonSimon Larsson
925214
925214
add a comment |
add a comment |
$begingroup$
No, there are other kinds of networks such as :
- RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network
- CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network
$endgroup$
add a comment |
$begingroup$
No, there are other kinds of networks such as :
- RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network
- CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network
$endgroup$
add a comment |
$begingroup$
No, there are other kinds of networks such as :
- RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network
- CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network
$endgroup$
No, there are other kinds of networks such as :
- RNN (Cells are connected vertically across the same layer) https://en.wikipedia.org/wiki/Recurrent_neural_network
- CNN (Moves a rectangle across 2 D Input) https://en.wikipedia.org/wiki/Convolutional_neural_network
answered Apr 2 at 14:52
Shamit VermaShamit Verma
1,6191414
1,6191414
add a comment |
add a comment |
$begingroup$
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
andANN
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.
The mostly complete chart of Neural Networks, explained
$endgroup$
add a comment |
$begingroup$
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
andANN
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.
The mostly complete chart of Neural Networks, explained
$endgroup$
add a comment |
$begingroup$
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
andANN
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.
The mostly complete chart of Neural Networks, explained
$endgroup$
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
andANN
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.
The mostly complete chart of Neural Networks, explained
edited Apr 2 at 20:38
answered Apr 2 at 20:14
n1tkn1tk
413210
413210
add a comment |
add a comment |
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$begingroup$
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