Meet the Team: How Neural Networks Actually Work
Neural networks act like a team of specialists and a manager, weighing different factors to make a final decision, from taking an umbrella to detecting bank fraud.
An Artificial Decision Squad
Imagine deciding whether to take an umbrella. You have a team of specialists: one checks the weather, another looks out the window, and a third considers the time of year. Each specialist's opinion has a certain 'weight' or importance. A 'manager' makes the final 'Yes' or 'No' decision based on their input. Deep neural networks use many layers of these teams together to solve complex problems.
Real-World Example
A bank's fraud detection system uses multiple factors (location, purchase amount, time of day, recent activity) as inputs. The system combines these factors and instantly decides if a transaction is fraudulent.
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