Choose the correct option describing the features of Neural Network.
These are systems modelled on the Human Brain and Nervous System:
It is essentially a machine learning algorithm.
It is useful when solving the problems for which the data set is very large
They are able to extract features without input from the programmer.
All of the above statements are correct
Statements i and ii are correct
Statements ii and iii are correct
Statements i and iii are correct
Answers
Answer:
statement ¡¡ and ¡¡¡ are correct
Statements ii and iii are correct. Neural networks are useful when solving problems with very large datasets and are able to extract features without input from the programmer. Statement i is incorrect as a neural network is not just a machine learning algorithm, it is a model of the human brain and nervous system.
Neural networks are a type of machine learning algorithm that are modelled after the structure and function of the human brain and nervous system. They are designed to recognize patterns and relationships within large datasets, and they are capable of learning from experience in a way that is similar to the way humans learn.
One of the key features of neural networks is their ability to extract features from data without explicit input from the programmer. This is because the network is designed to learn the most important features of the data through a process called training. During training, the network is presented with a large amount of data and it adjusts its parameters to minimize the difference between its output and the desired output. As a result, the network learns to recognize the most important features of the data on its own.
Neural networks are particularly useful when solving problems for which the data set is very large or complex, such as image recognition, natural language processing, and predictive modelling. They are also used in a wide range of applications, including self-driving cars, voice recognition systems, and recommender systems.
Overall, the ability of neural networks to learn and adapt to new data makes them a powerful tool for solving a wide range of problems in many different fields.
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