Category:Artificial neural networks

• Artificial neural network

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• Types of artificial neural networks

A

• Activation function
• ADALINE
• Adaptive neuro fuzzy inference system
• Adaptive resonance theory
• AlexNet
• ALOPEX
• AlterEgo
• Artificial Intelligence System
• Artificial neuron
• Artisto
• Autoassociative memory
• Autoencoder

B

• Backpropagation
• Backpropagation through structure
• Backpropagation through time
• Bcpnn
• Bidirectional associative memory
• Bidirectional recurrent neural networks
• BigDL
• Boltzmann machine

C

• Caffe (software)
• Capsule neural network
• Catastrophic interference
• Cellular neural network
• Cerebellar model articulation controller
• CLEVER score
• CoDi
• Committee machine
• Competitive learning
• Compositional pattern-producing network
• Computational cybernetics
• Computational neurogenetic modeling
• Confabulation (neural networks)
• Connectionist temporal classification
• Convolutional Deep Belief Networks
• Convolutional neural network
• Cover's theorem

D

• Deep belief network
• Deep lambertian networks
• Deep learning
• Deeplearning4j
• Dehaene–Changeux model
• Delta rule
• DexNet
• Differentiable neural computer
• Dropout (neural networks)

E

• Early stopping
• Echo state network
• Electricity price forecasting
• The Emotion Machine
• European Neural Network Society
• Evolutionary acquisition of neural topologies
• Extension neural network
• Extreme learning machine

F

• Feed forward (control)
• Feedforward neural network
• FindFace

G

• Gated recurrent unit
• General regression neural network
• Generalized Hebbian Algorithm
• Generative adversarial network
• Generative topographic map
• Google Neural Machine Translation
• Grossberg network
• Group method of data handling
• Growing self-organizing map

H

• Hard sigmoid
• Helmholtz machine
• Hierarchical temporal memory
• Hopfield network
• Hybrid Kohonen self-organizing map
• Hybrid neural network
• Hyper basis function network
• HyperNEAT

I

• Infomax
• Instantaneously trained neural networks
• Interactive activation and competition networks
• IPO underpricing algorithm

J

• Jpred

L

• Leabra
• Learning rule
• Learning vector quantization
• Lernmatrix
• Linde–Buzo–Gray algorithm
• Liquid state machine
• Long short-term memory

M

• Memtransistor
• Modular neural network
• MoneyBee
• Multi-surface method
• Multilayer perceptron
• Multimodal learning

N

• ND4J (software)
• ND4S
• Neocognitron
• NETtalk (artificial neural network)
• Neural cryptography
• Neural gas
• Neural network software
• Neural network synchronization protocol
• Neural Networks (journal)
• Neural Turing machine
• Neuroevolution
• Neuroevolution of augmenting topologies
• Ni1000
• NVDLA

O

• Oja's rule
• OpenNN
• Optical neural network
• Outstar

P

• Perceptron
• Physical neural network
• Probabilistic neural network
• Promoter based genetic algorithm
• Pulse-coupled networks

Q

• Quantum neural network
• Quickprop

R

• Radial basis function
• Radial basis function network
• Random neural network
• Rectifier (neural networks)
• Recurrent neural network
• Recursive neural network
• Relation network
• Reservoir computing
• Residual neural network
• Restricted Boltzmann machine
• Rprop

S

• Self-organizing map
• Semantic neural network
• Sentence embedding
• Siamese network
• Sigmoid function
• Softmax function
• Spiking neural network
• SqueezeNet
• Stochastic neural analog reinforcement calculator
• Stochastic neural network
• Synaptic transistor
• Synaptic weight

T

• Tensor product network
• Time aware long short-term memory
• Time delay neural network
• Triplet loss

U

• U-matrix
• U-Net
• Universal approximation theorem

V

• Vanishing gradient problem

W

• Waifu2x
• WaveNet
• Winner-take-all (computing)
• Word embedding
• Word2vec