Classification algorithms and their programming in machine learning

Advantages and Disadvantages

It has a high tolerance to noisy data and able to classify untrained patterns, it performs better with continuous-valued inputs and outputs. The disadvantage with the artificial neural networks is that it has poor interpretation compared to other models.

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   Use Cases
   

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  Handwriting analysis
  
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  Colorization of black and white images
  
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  Computer vision processes
  
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  Captioning photos based on facial features
  

Know more about artificial neural networks here