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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.
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What is epochs in neural network?
A step in the training process of an artificial neural network
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.
Where can one find information on artificial neural network?
An artificial neural network is a mathematical model inspired by biological neural networks. One can find more information about this subject online at Learn Artificial Neural Networks, Computer World, and Wikipedia.
What Sentence for the word neural?
I'm not sure how to construct an artificial neutral network.
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.
Is nanotechnology and artificial intelligence are the application of neural networks?
If you are asking about the application of Neural network in Artificial Intelligence and Nanotechnology then let me tell you that it is possible. Infact, a group of researchers from Columbian University are in pursuit of an artificial brain that functions similar to that of a human brain. Neural network is a phenomenon that is present in a human brain and the same is being replicated in case of Artificial Intelligence. Micro processors are used to pass on electrical signals to initiate decision making process, similar to that of a human brain. Some philosophy even suggest the use of same in robotics to improve artificial intelligence and initiate robot decision making.
What is momentum neural networks?
momentum neural network
What has the author Mohamad H Hassoun written?
Mohamad H. Hassoun has written: 'Associative Neural Memories' 'Fundamentals of artificial neural networks' -- subject(s): Neural networks (Computer science), Artificial intelligence
What is basic neutron of neural network?
Neural networks have nothing to do with neutrons.
What is an artificial neural network and how does it work?
Artificial neural networks are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. They work by neurons continuously evaluating their output by looking at their inputs, calculating the weighted sum and comparing to a threshold to decide if they should fire.
What are the basic assumptions of Artificial Neural Networks?
wat's the answer for this question?...
What has the author R Lee Kennedy written?
R. Lee Kennedy has written: 'A comparison of logistic regression and artificial neural network models for the early diagnosis of acute myocardialinfarction (AMI)'
