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RNN is the best neural network to be used for sequential data.Structured Data Examples:
1) Banks Transaction Information
2) Phone Book Contacts
3) SQL Databases
4) Web Form Results
5) Student's Data
Un-structured Data:
1) Social Media Feeds
2) Open Ended Surveys
3) Movie / Hotel Reviews
4) Multi-media content
5) EmailsCNNs are primarily used in image processing tasks due to their ability to analyze visual data.
RNNs are used in sequential data analysis like time series analysis, natural language processing, and speech recognition etc.
Standard NNs are used in situations where the relationship between input and output data is not complex.An Artificial Neural Network (ANN) is a computing system inspired by the human brain's interconnected web of neurons. It's a software system that "learns" from data, much like how we learn from experience.
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An artificial neural network (ANN) is a computational model inspired by the structure and function of biological neural networks in the human brain. It is a type of machine learning algorithm designed to recognize patterns and relationships in data.
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RNN in sequential data
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MA SHA ALLAH
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