Global Scientist Day : Neural Networks Explained in 30 Seconds

Neural Networks Explained in 30 Seconds

Neural networks are computer systems inspired by the human brain. They learn by recognizing patterns in data through layers of connected “neurons.” Each layer extracts more complex features—like edges, shapes, or meanings—until the network can make decisions such as identifying images, understanding speech, or predicting outcomes. Simply put, neural networks learn from examples, improve with experience, and power much of today’s artificial intelligence.

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