APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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It can be performed without any problem
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It can be implemented in any application.
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A neural network learns and reprogramming is not necessary
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All of the above
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Detailed explanation-1: -Neural Networks have the ability to learn by themselves and produce the output that is not limited to the input provided to them. The input is stored in its own networks instead of a database, hence the loss of data does not affect its working.
Detailed explanation-2: -The key advantage of Neural Networks, are that they are able to extract data features automatically without needing the input of the programmer. A Neural Network is essentially a system of organizing machine learning algorithms to perform certain tasks.
Detailed explanation-3: -Conclusion Neural networks are a powerful tool for machine learning and artificial intelligence. They offer many advantages, such as the ability to learn from data and generalize. However, they also have some drawbacks, such as the cost and the difficulty of interpreting the results.