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- Activation_function abstract "In computational networks, the activation function of a node defines the output of that node given an input or set of inputs. A standard computer chip circuit can be seen as a digital network of activation functions that can be \"ON\" (1) or \"OFF\" (0), depending on input. This is similar to the behavior of the linear perceptron in neural networks. However, it is the nonlinear activation function that allows such networks to compute nontrivial problems using only a small number of nodes.".
- Activation_function wikiPageID "14179835".
- Activation_function wikiPageLength "13981".
- Activation_function wikiPageOutDegree "46".
- Activation_function wikiPageRevisionID "704211438".
- Activation_function wikiPageWikiLink Action_potential.
- Activation_function wikiPageWikiLink Artificial_neural_network.
- Activation_function wikiPageWikiLink Artificial_neuron.
- Activation_function wikiPageWikiLink Asymptote.
- Activation_function wikiPageWikiLink BIBO_stability.
- Activation_function wikiPageWikiLink Backpropagation.
- Activation_function wikiPageWikiLink Binary_function.
- Activation_function wikiPageWikiLink Category:Artificial_neural_networks.
- Activation_function wikiPageWikiLink Digital_electronics.
- Activation_function wikiPageWikiLink Heaviside_step_function.
- Activation_function wikiPageWikiLink Hyperbolic_function.
- Activation_function wikiPageWikiLink If_and_only_if.
- Activation_function wikiPageWikiLink Integrated_circuit.
- Activation_function wikiPageWikiLink Logistic_function.
- Activation_function wikiPageWikiLink Multilayer_perceptron.
- Activation_function wikiPageWikiLink Neuron.
- Activation_function wikiPageWikiLink Normalizing_constant.
- Activation_function wikiPageWikiLink Perceptron.
- Activation_function wikiPageWikiLink Radial_basis_function.
- Activation_function wikiPageWikiLink Radial_basis_function_network.
- Activation_function wikiPageWikiLink Rectifier_(neural_networks).
- Activation_function wikiPageWikiLink Sigmoid_function.
- Activation_function wikiPageWikiLink Slope.
- Activation_function wikiPageWikiLink Smoothness.
- Activation_function wikiPageWikiLink Softmax_function.
- Activation_function wikiPageWikiLink Stability_(learning_theory).
- Activation_function wikiPageWikiLink Support_vector_machine.
- Activation_function wikiPageWikiLink Transfer_function.
- Activation_function wikiPageWikiLink Wikt:differentiation.
- Activation_function wikiPageWikiLink File:Activation_arctan.svg.
- Activation_function wikiPageWikiLink File:Activation_bent_identity.svg.
- Activation_function wikiPageWikiLink File:Activation_binary_step.svg.
- Activation_function wikiPageWikiLink File:Activation_elu.svg.
- Activation_function wikiPageWikiLink File:Activation_gaussian.svg.
- Activation_function wikiPageWikiLink File:Activation_identity.svg.
- Activation_function wikiPageWikiLink File:Activation_logistic.svg.
- Activation_function wikiPageWikiLink File:Activation_prelu.svg.
- Activation_function wikiPageWikiLink File:Activation_rectified_linear.svg.
- Activation_function wikiPageWikiLink File:Activation_sinc.svg.
- Activation_function wikiPageWikiLink File:Activation_sinusoid.svg.
- Activation_function wikiPageWikiLink File:Activation_soft_exponential.svg.
- Activation_function wikiPageWikiLink File:Activation_softplus.svg.
- Activation_function wikiPageWikiLink File:Activation_tanh.svg.
- Activation_function wikiPageWikiLinkText "activation function".
- Activation_function date "January 2016".
- Activation_function reason "What does this mean? By substitution, does this mean that f ≈ 0 when x ≈ 0? Or does also f' have to be ≈ 1 when x ≈ 0? Does f have to pass through the origin?".
- Activation_function wikiPageUsesTemplate Template:Citation_needed.
- Activation_function wikiPageUsesTemplate Template:Clarify.
- Activation_function wikiPageUsesTemplate Template:For.
- Activation_function wikiPageUsesTemplate Template:No.
- Activation_function wikiPageUsesTemplate Template:Reflist.
- Activation_function wikiPageUsesTemplate Template:Yes.
- Activation_function subject Category:Artificial_neural_networks.
- Activation_function type Network.
- Activation_function comment "In computational networks, the activation function of a node defines the output of that node given an input or set of inputs. A standard computer chip circuit can be seen as a digital network of activation functions that can be \"ON\" (1) or \"OFF\" (0), depending on input. This is similar to the behavior of the linear perceptron in neural networks. However, it is the nonlinear activation function that allows such networks to compute nontrivial problems using only a small number of nodes.".
- Activation_function label "Activation function".
- Activation_function sameAs Q4677469.
- Activation_function sameAs Función_de_activación.
- Activation_function sameAs 活性化関数.
- Activation_function sameAs Funkcja_aktywacji.
- Activation_function sameAs m.03cx1nf.
- Activation_function sameAs Q4677469.
- Activation_function wasDerivedFrom Activation_function?oldid=704211438.
- Activation_function isPrimaryTopicOf Activation_function.