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    artificial neural networks are computational network that reflect the behaviour of which organ in the human body

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    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in...?

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

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    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in...?

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    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

    Options: Heart Kidneys Brain Stomach Answer: Brain

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    KBC 14: In 2022, whose hologram statue was inaugrated at the India Gate on 23rd of January, a day celebrated.?

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    KBC 14: Which of these characters from the Mahabharata is the son of Sage Bharadwaja?

    KBC 14: What word can refer to the number of vehicles on the road, as well as the number of visitors to a....?

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    KBC 14: Which of these animals is not a reptile?

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    KBC 14: A replica of which goddess, also known as Vagdevi, is given to Jnanpith Award winners?

    KBC 14: What is the English name of the red coloured piece in carrom, and a chess piece that can move....?

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    artificial neural network are computational network that reflect the behaviour of which organ in the human body

    get artificial neural network are computational network that reflect the behaviour of which organ in the human body from screen.

    artificial neural network are computational network that reflect the behaviour of which organ in the human body

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    Mohammed

    Guys, does anyone know the answer?

    get artificial neural network are computational network that reflect the behaviour of which organ in the human body from screen.

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in...?

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

    quizdabbler Updated.1 hour ago

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in...?

    (Photo Credit: Twitter/AmitabhBachchan)

    #KaunBanegaCrorepati#KBCPlayAlong#KBC2022

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

    KBC 14: Artificial Neural Networks are computational networks that reflect the behaviour of which organ in the human body?

    Options: Heart Kidneys Brain Stomach Answer: Brain

    KBC 14: Which city is depicted in the video clip?

    KBC 14: In 2022, whose hologram statue was inaugrated at the India Gate on 23rd of January, a day celebrated.?

    KBC 14: What is the name of the authorized biography of Mahavir SIngh Phogat, which gets its name from the...?

    KBC 14: Which of these characters from the Mahabharata is the son of Sage Bharadwaja?

    KBC 14: What word can refer to the number of vehicles on the road, as well as the number of visitors to a....?

    KBC 14: What is this creature commonly called?

    KBC 14: Which of these dishes is usually served with sambar and chutney?

    KBC 14: Which country is the only one to have an ocean named after it?

    KBC 14: Who among these did not serve as the Prime Minister of India in the year 1996?

    KBC 14: Which of these animals is not a reptile?

    KBC 14: What is the stage name of the Indian-origin musician Falguni Shah who won a Grammy Award in 2022?

    KBC 14: Which avatar of Lord Vishnu met his end after a hunter's arrow struck him in his foot?

    KBC 14: Who among these has not played for the Indian women's cricket team?

    KBC 14: Which person completes this sequence, with respect to British politics?

    KBC 14: Which of these states does the Eastern ghats pass through?

    KBC 14: A replica of which goddess, also known as Vagdevi, is given to Jnanpith Award winners?

    KBC 14: What is the English name of the red coloured piece in carrom, and a chess piece that can move....?

    KBC 14: Which word is repeated twice to form the title of the film this song is from?

    KBC 14: Which of these words can also refer to a signature?

    KBC 14: The acronym 'TBH' used on social media and in text messaging, usually stands for which of these?

    #KBC14#KBC#Quiz#Entertainment

    Trending on Opoyi

    Bitcoin, Ethereum falls over 1% as US Fed hikes key interest rates

    Treasury yields rise as US Fed raises interest rates by 75 basis points

    Oil prices fall nearly 1% as US Fed hikes interest rates by 75 basis points

    स्रोत : opoyi.com

    Artificial neural network

    We usually invite the world to create the sum of all human knowledge. Now, we are inviting the world to create the sound of all human knowledge.

    [Help with translations!]

    Artificial neural network

    From Wikipedia, the free encyclopedia

    Jump to navigation Jump to search Part of a series on Machine learning and data mining show Problems show Supervised learning

    (classification • regression)

    show Clustering show

    Dimensionality reduction

    show

    Structured prediction

    show Anomaly detection hide

    Artificial neural network

    AutoencoderCognitive computingDeep learningDeepDreamMultilayer perceptronRNN LSTMGRUESNreservoir computingRestricted Boltzmann machineGANSOMConvolutional neural network U-NetTransformer VisionSpiking neural networkMemtransistorElectrochemical RAM (ECRAM)

    show

    Reinforcement learning

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    Learning with humans

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    show Related articles vte Part of a series on

    Artificial intelligence

    show Major goals show Approaches show Philosophy show History show Technology show Glossary vte Complex systems Topics show Self-organization show Collective behavior show Networks show

    Evolution and adaptation

    show Pattern formation show

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    show Nonlinear dynamics show Game theory vte Part of a series on Network science

    स्रोत : indiascreen.ir

    Artificial neural network

    We usually invite the world to create the sum of all human knowledge. Now, we are inviting the world to create the sound of all human knowledge.

    [Help with translations!]

    Artificial neural network

    From Wikipedia, the free encyclopedia

    Jump to navigation Jump to search Part of a series on Machine learning and data mining show Problems show Supervised learning

    (classification • regression)

    show Clustering show

    Dimensionality reduction

    show

    Structured prediction

    show Anomaly detection hide

    Artificial neural network

    AutoencoderCognitive computingDeep learningDeepDreamMultilayer perceptronRNN LSTMGRUESNreservoir computingRestricted Boltzmann machineGANSOMConvolutional neural network U-NetTransformer VisionSpiking neural networkMemtransistorElectrochemical RAM (ECRAM)

    show

    Reinforcement learning

    show

    Learning with humans

    show Model diagnostics show Theory show

    Machine-learning venues

    show Related articles vte Part of a series on

    Artificial intelligence

    show Major goals show Approaches show Philosophy show History show Technology show Glossary vte Complex systems Topics show Self-organization show Collective behavior show Networks show

    Evolution and adaptation

    show Pattern formation show

    Systems theory and cybernetics

    show Nonlinear dynamics show Game theory vte Part of a series on Network science

    Theory

    GraphComplex networkContagionSmall-worldScale-freeCommunity structurePercolationEvolutionControllabilityGraph drawingSocial capitalLink analysisOptimizationReciprocityClosureHomophilyTransitivityPreferential attachmentBalance theoryNetwork effectSocial influence

    Network types

    Informational (computing)TelecommunicationTransportSocialScientific collaborationBiologicalArtificial neuralInterdependentSemanticSpatialDependencyFlowon-Chip

    Graphs Features

    CliqueComponentCutCycleData structureEdgeLoopNeighborhoodPathVertexAdjacency list / matrixIncidence list / matrix

    Types

    BipartiteCompleteDirectedHyperMultiRandomWeighted

    MetricsAlgorithms

    CentralityDegreeMotifClusteringDegree distributionAssortativityDistanceModularityEfficiency

    Models Topology

    Random graphErdős–RényiBarabási–AlbertBianconi–BarabásiFitness modelWatts–StrogatzExponential random (ERGM)Random geometric (RGG)Hyperbolic (HGN)HierarchicalStochastic blockBlockmodelingMaximum entropySoft configurationLFR Benchmark

    Dynamics

    Boolean networkagent basedEpidemic/SIR

    ListsCategories

    TopicsSoftwareNetwork scientists

    Category:Network theoryCategory:Graph theory

    vte

    An artificial neural network is an interconnected group of nodes, inspired by a simplification of neurons in a brain. Here, each circular node represents an artificial neuron and an arrow represents a connection from the output of one artificial neuron to the input of another.

    Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets,[1] are computing systems inspired by the biological neural networks that constitute animal brains.[2]

    An ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron receives signals then processes them and can signal neurons connected to it. The "signal" at a connection is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs. The connections are called . Neurons and edges typically have a that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Neurons may have a threshold such that a signal is sent only if the aggregate signal crosses that threshold.

    Typically, neurons are aggregated into layers. Different layers may perform different transformations on their inputs. Signals travel from the first layer (the input layer), to the last layer (the output layer), possibly after traversing the layers multiple times.

    Contents

    1 Training 2 History 3 Models

    3.1 Artificial neurons

    3.2 Organization 3.3 Hyperparameter 3.4 Learning 3.4.1 Learning rate 3.4.2 Cost function

    3.4.3 Backpropagation

    3.5 Learning paradigms

    3.5.1 Supervised learning

    3.5.2 Unsupervised learning

    3.5.3 Reinforcement learning

    3.5.4 Self-learning

    3.5.5 Neuroevolution

    3.6 Stochastic neural network

    3.7 Other

    स्रोत : en.wikipedia.org

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