Category:Artificial neural networks
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English: An artificial neural network (ANN), often just called a "neural network" (NN), is a mathematical model or computational model based on biological neural networks.
Podkategorie
Poniżej wyświetlono 14 spośród wszystkich 14 podkategorii tej kategorii.
A
- Activation functions (31 plików)
B
- Balanced networks (15 plików)
- Boltzmann machines (7 plików)
C
G
H
- Hopfield net (1 strona, 6 plików)
I
N
- Neural networks (computer) (29 plików)
P
- Perceptrons (65 plików)
S
- Self-organizing maps (23 pliki)
- SpiNNaker (3 pliki)
Strony w kategorii „Artificial neural networks”
Poniżej wyświetlono 3 spośród wszystkich 3 stron tej kategorii.
Pliki w kategorii „Artificial neural networks”
Poniżej wyświetlono 200 spośród wszystkich 267 plików w tej kategorii.
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060728b unnormalized basis function phi.png 699 × 579; 7 KB
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060731 logistic map time series 2.png 699 × 466; 9 KB
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1D Convolution.png 321 × 310; 11 KB
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1D Convolutional Neural Network feed forward example.png 661 × 301; 31 KB
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A Perceptron Neuron.png 852 × 725; 56 KB
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A-neural-network-based-exploratory-learning-and-motor-planning-system-for-co-robots-Video1.ogv 32 s, 854 × 480; 3,27 MB
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A-neural-network-based-exploratory-learning-and-motor-planning-system-for-co-robots-Video2.ogv 42 s, 854 × 480; 15,03 MB
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A-NFHB-Class-Architecture.jpg 600 × 489; 17 KB
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A Biologically-Inspired Neural Network Architecture for Image Processing (IA abiologicallyins1094530625).pdf 1275 × 1650, 160 stron; 5,52 MB
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Activation gelu.png 1200 × 800; 65 KB
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ActivationFunctions.svg 1058 × 606; 293 KB
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Adaptive-Fast-Walking-in-a-Biped-Robot-under-Neuronal-Control-and-Learning-pcbi.0030134.sv001.ogv 0,0 s, 312 × 240; 4,93 MB
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Adaptive-Fast-Walking-in-a-Biped-Robot-under-Neuronal-Control-and-Learning-pcbi.0030134.sv002.ogv 1 min 46 s, 312 × 240; 12,29 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s001.ogv 1 min 19 s, 288 × 318; 9,9 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s002.ogv 1 min 13 s, 304 × 318; 11,25 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s003.ogv 48 s, 296 × 320; 3,36 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s004.ogv 36 s, 296 × 318; 891 KB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s005.ogv 40 s, 494 × 512; 5,69 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s006.ogv 58 s, 496 × 512; 7,55 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s007.ogv 56 s, 492 × 514; 6,86 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s008.ogv 56 s, 492 × 512; 6,74 MB
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AHaH-Computing-From-Metastable-Switches-to-Attractors-to-Machine-Learning-pone.0085175.s009.ogv 1 min 29 s, 494 × 512; 10,25 MB
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AI relation to Generative Models subset, venn diagram.png 1024 × 1024; 102 KB
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Alexnet.svg 698 × 1851; 30 KB
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Alternující projekce.png 386 × 147; 17 KB
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ANFIS - de.svg 1590 × 731; 155 KB
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Ann dependency (graph).svg 178 × 127; 151 KB
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Ann dependency graph.png 353 × 253; 4 KB
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ANN neuron.svg 1720 × 1133; 94 KB
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ANN-ComputerScience-AI Relation.png 298 × 191; 4 KB
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Architecture algoHJ.PNG 617 × 319; 12 KB
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Architektura bidirektní paměti.png 454 × 426; 102 KB
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Architektury neuronové sítě.png 430 × 353; 53 KB
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ART.png 1024 × 780; 138 KB
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ART.svg 744 × 567; 33 KB
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Artificial imagination silveira.jpg 850 × 1129; 841 KB
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Artificial Neural Network Example.png 3840 × 2880; 292 KB
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Artificial neural network image recognition.png 693 × 600; 34 KB
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Artificial neural network In-Out.svg 560 × 500; 25 KB
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Artificial neural network pso.png 1625 × 1157; 366 KB
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Artificial Neural Network with Chip.jpg 2000 × 1600; 2,59 MB
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Artificial Neural Network with Chip.png 1257 × 943; 1,9 MB
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Artificial Neural Network.jpg 1644 × 1135; 65 KB
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Artificial neural network.png 800 × 380; 19 KB
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Artificial neuron 2.gif 845 × 458; 11 KB
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Artificial Neuron And.png 437 × 249; 319 KB
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Artificial neuron or.png 437 × 259; 332 KB
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Artificial neuron or.svg 437 × 255; 16 KB
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Artificial Neuron Scheme.png 681 × 502; 21 KB
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Artificial neuron.png 272 × 187; 2 KB
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ARTMAP.png 1024 × 582; 120 KB
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ARTMAP.svg 744 × 423; 74 KB
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Autoencoder structure uk.png 677 × 506; 39 KB
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Autoencoder structure.png 677 × 506; 48 KB
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Autoenkodér.png 515 × 340; 41 KB
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Back Propagation Example.svg 770 × 360; 269 KB
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Backprogation neural networks.png 458 × 496; 26 KB
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Backpropagation.png 403 × 319; 51 KB
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Back-propagation neural networks in adaptive control of unknown nonlinear systems. (IA backpropagationn00teoc).pdf 1168 × 1581, 124 strony; 5,77 MB
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Backpropagation neural network for noise cancellation applied to the NUWES test ranges (IA backpropagationn00well).pdf 1181 × 1606, 86 stron; 4,01 MB
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Back-propagation neural networks in adaptive control of unknown nonlinear systems (IA backpropagationn1094530830).pdf 1275 × 1650, 89 stron; 15,36 MB
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Bidirectional recurrent neural network.png 635 × 593; 117 KB
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Breast ANN.svg 545 × 808; 25 KB
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BRNN.png 1640 × 1018; 218 KB
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Calcul par reservoir.png 1393 × 754; 161 KB
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CapaOculta.png 247 × 220; 27 KB
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Causual language modeling.jpg 2000 × 1414; 68 KB
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Ccmac.jpg 824 × 536; 45 KB
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Colored neural network es.svg 296 × 356; 220 KB
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Competitive neural network architecture.png 304 × 329; 14 KB
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Computer.Science.AI.Neuron.AND.svg 725 × 788; 19 KB
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Computer.Science.AI.Neuron.OR.svg 725 × 788; 20 KB
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Computer.Science.AI.Neuron.svg 675 × 300; 20 KB
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Computer.Science.AI.Neuron.XOR.svg 725 × 788; 15 KB
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Conformadorhaces.JPG 558 × 424; 28 KB
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Convolutional-neural-network-polyanalyst-flowchart-example.png 561 × 190; 20 KB
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Cortex contrast.png 406 × 255; 11 KB
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Cpg connections.jpg 358 × 278; 18 KB
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DAGUI.jpg 391 × 246; 35 KB
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DAP.png 569 × 535; 24 KB
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DavidRumelhart-IJCNNseattle1991-07-08.jpg 2217 × 2560; 1,73 MB
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Deep belief net.svg 230 × 345; 3 KB
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Deep Learning.jpg 1239 × 1012; 341 KB
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DeepIngisht FeatureMapping.jpg 1104 × 900; 179 KB
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DeepInsight method to transform non-image data to 2D image for convolutional neural network architecture.pdf 1239 × 1629, 7 stron; 1,78 MB
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DeepInsight Pipeline.jpg 1200 × 425; 143 KB
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DeepInsight RevealingPatterns.jpg 3809 × 3312; 1,75 MB
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DeepQA.svg 1630 × 815; 16 KB
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Despliegue de Red sinapse.jpg 2448 × 3264; 999 KB
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Diagram BRNN RNN Compare.png 1626 × 838; 184 KB
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Diagram of a McCulloch-Pitts-cell.svg 569 × 250; 8 KB
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Diagrama de red neuronal artificial.png 7296 × 3986; 6,79 MB
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DiagramJordanNet deutsch.png 1666 × 809; 66 KB
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DiagramTDNN deutsch.png 1598 × 2383; 130 KB
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DiagramTDNN english.png 1454 × 2383; 116 KB
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Differentiable Neural Computer.png 1000 × 881; 24 KB
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Differentiable neural computer.svg 649 × 284; 242 KB
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Differentiable Neural Computer.svg 177 × 156; 15 KB
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Distributed ART model (dART).png 908 × 768; 99 KB
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Distributed representation.svg 800 × 246; 15 KB
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DNC training recall task.gif 919 × 459; 8,21 MB
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Elman srnn.png 673 × 745; 52 KB
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Elman.svg 716 × 578; 18 KB
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Energy landscape.png 1581 × 560; 26 KB
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Expressivity matrix of an artificial binary neuron.png 2048 × 2048; 276 KB
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Faces example (neural-enhance).png 1280 × 667; 666 KB
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Feed forward neural net.gif 380 × 440; 13 KB
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Figure 2-Types of brain connectivity.jpg 711 × 400; 24 KB
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Filtrace šumu.png 301 × 122; 10 KB
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From-grid-cells-and-visual-place-cells-to-multimodal-place-cell-a-new-robotic-architecture-Movie1.ogv 5 min 3 s, 768 × 576; 20,21 MB
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Fully connected neural network.svg 700 × 600; 8 KB
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Gated Recurrent Unit, base type.svg 780 × 390; 12 KB
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Gated Recurrent Unit, type 1.svg 780 × 390; 12 KB
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Gated Recurrent Unit.svg 1594 × 709; 49 KB
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Generlized Regression Neural Network (GRNN).png 1468 × 802; 66 KB
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GPT2-talks-about-GPT2.png 1902 × 943; 178 KB
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Grafo de dependencia Ann.jpg 2448 × 3264; 352 KB
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Grossbergova síť.png 222 × 252; 17 KB
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HopfildaTikls.png 423 × 388; 4 KB
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HyperNEAT query connection.png 1273 × 765; 29 KB
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Kohonen Map.jpg 613 × 239; 38 KB
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Linking ImageNet WordNet Synsets with Wikidata - Figure 2a.jpg 636 × 471; 43 KB
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Linking ImageNet WordNet Synsets with Wikidata - Figure 2b.jpg 638 × 478; 57 KB
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Localist (one-hot) representation.svg 800 × 246; 17 KB
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Long Short Term Memory uk.png 793 × 453; 20 KB
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Long Short Term Memory.png 793 × 453; 30 KB
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Long Short-Term Memory.svg 1594 × 709; 52 KB
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Malmberg Neural Net Circuit.png 664 × 606; 45 KB
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McCulloch-Pitts-Zelle simuliert AND-OR-NOT.png 214 × 343; 10 KB
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McCulloch-Pitts-Zelle.png 247 × 180; 7 KB
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Microwave diffractive ANN.png 2326 × 998; 1,9 MB
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Model aktivace neuronu.png 238 × 221; 5 KB
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Model synapse.png 339 × 110; 2 KB
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Multi-Layer Neural Network-Vector-Blank.svg 815 × 390; 6 KB
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Multi-Layer Neural Network-Vector.svg 957 × 567; 7 KB
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Multilayer Perceptron with one hidden layer.svg 293 × 248; 40 KB
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MultiLayerNeuralNetwork deutsch.png 620 × 347; 44 KB
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MultiLayerNeuralNetwork english.png 620 × 347; 43 KB
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MultiLayerNeuralNetwork.png 620 × 278; 38 KB
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MultiLayerPerceptron.png 1061 × 487; 72 KB
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MultiLayerPerceptron.svg 1052 × 744; 23 KB
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NETtalk-Back-propagation.jpg 300 × 300; 36 KB
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Neural Abstraction Pyramid.jpg 1343 × 782; 253 KB
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Neural Designer logo.png 697 × 156; 16 KB
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Neural network - Midjourney and Grok.png 1024 × 1024; 2,23 MB
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Neural network bottleneck achitecture.svg 1052 × 744; 48 KB
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Neural network bottleneck achitecture2.svg 1052 × 744; 50 KB
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Neural network example.png 401 × 411; 8 KB
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Neural Network Identifies Stars.jpg 1545 × 1200; 110 KB
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Neural network.svg 600 × 400; 1 KB
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NeuralNetwork.png 1278 × 861; 105 KB
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Neuro-fuzzy.jpg 611 × 478; 32 KB
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Neuron comparison uk.png 426 × 362; 53 KB
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Neuron comparison.png 426 × 362; 72 KB
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Neuronal Network scheme.JPG 506 × 278; 19 KB
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NeuronModel deutsch.svg 5450 × 2580; 9 KB
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Neurális hálózat modell-2.gif 553 × 239; 15 KB
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Nicht-Neuron.png 646 × 458; 18 KB
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Nicht-Neuron.svg 194 × 138; 2 KB
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NM 6408 neural network during the "Armiya 2022" exhibition.jpg 2734 × 4886; 3,56 MB
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Normalized radial basis functions.svg 460 × 422; 2 KB
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