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What are the advantages of sigmoidal function in neural network?
Wiki User
∙ 11y ago
its derivative is easy to compute
Wiki User
∙ 11y ago
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Advantage and disadvantage of neural network?
Advantages and disadvantages of Artificial Neural NetworkAdvantages:· A neural network can perform tasks that a linear program cannot.· When an element of the neural network fails, it can continue without any problem by their parallel nature.· A neural network learns and does not need to be reprogrammed.· It can be implemented in any application and without any problem.Disadvantages:· The neural network needs training to operate.· The architecture of a neural network is different from the architecture of microprocessors therefore needs to be emulated.· Requires high processing time for large neural networks.
What are the types of neural network?
We can classify neural networks in several groups according to following criteria:Perceptron networksNumber od layers:single layer neural networksmultiple layer neural networksDirection of signal propagation:forward propagationrecurentOther structuresKohonen networksHopfield networksOther typesRadial Basis Function networksOrtogonal activating function neural networksmany others... see wikipedia
What is epochs in neural network?
A step in the training process of an artificial neural network
Why Is the RBFNs Algorithm Important?
The Radial Basis Function Neural Network Kernel is frequently utilised because of how much it resembles the K-Nearest Neighborhood Algorithms. Radial Basis Function Neural Network Kernel Support Vector Machines have K-NN advantages and address the memory complex problem by requiring the coordinates to be stored during training rather than the entire dataset. For more information, Pls visit the 1stepgrow website.
What is momentum neural networks?
momentum neural network
Disadvantage of artificial neural network?
the neural networks need training to operate. the architecture of a neural network is different from the architecture of microprocessor therefore needs to be emulated.
What is basic neutron of neural network?
Neural networks have nothing to do with neutrons.
What is neural network in application of Oops?
nothig
How does the human brain learn?
By forming an neural network
What is iteration in neural network?
gudu gudu bamboo
Is 20Q a Neural Network?
20Q is a true neural network. The answers to questions stimulate target nodes (objects), which in turn stimulate the next question to ask. The "brain" is about as complex as an insect's brain.
What does the letters CNN mean?
A convolutional neural network (CNN) is a specific type of artificial neural network that uses perceptrons, a machine learning unit algorithm, for supervised learning, to analyze data. CNNs apply to image processing, natural language processing and other kinds of cognitive tasks. A convolutional neural network is also known as a ConvNet.
