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Applications of Neural Networks
Some of the applications of neural networks are:
• Facial recognition: Cameras on smartphones these days can estimate
the age of the person based on their facial features. This is neural
networks at play. First differentiating the face from the background
and then correlating the lines and spots on your face to a possible age.
For example, Facebook uses facial recognition powered by artificial
neural networks to suggest to you whom you should tag in the post.
• Forecasting: Neural networks are trained to understand the patterns
and detect the possibility of rainfall or rise in stock prices with high
accuracy.
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• Music Composition: Neural networks can even learn patterns
in music and train themselves enough to compose fresh tunes. Eb6 Dc7
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Advantages of Neural Network
Some of the advantages of neural networks are as follows:
• Parallel processing capability: Artificial neural networks is a very powerful system that can perform more than
one job at the same time.
• Data is stored on the entire network: Since the data is available on the entire network so if any node is down
or unavailable, the whole system will not stop working.
• Capable of learning from non-linear and complex data: The input can be complex and non-linear for ANN
to use it to generate the desired output.
Reboot
1. Name the three applications of neural networks.
2. Why do we use Neural Networks?
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