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RV Dhameliya

Student • 14h

What is a Neural Network? Think of a neural network like your brain learning to recognize a dog. Imagine you're a child. At first, someone shows you a picture of a dog and says, “This is a dog.” Next time, they show you another animal and ask, “Is this a dog?” You guess. If you're right, great! If not, they correct you. Slowly, you start to understand: Dogs have four legs. They bark. They have fur. This is how a neural network learns! Input layer = the features (legs, bark, fur) Hidden layers = the brain analyzing patterns Output = the answer: “Yes, this is a dog.” The more pictures (data) you see, the smarter you get — just like a neural network! Used in: Face unlock, Google Translate, Self-driving cars, Netflix recommendations.

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