Neural networks power modern AI — but how do they actually work? This simple explanation makes the concepts clear for everyone.
What is a Neural Network?
A neural network is made of artificial neurons organized in layers. Input layer receives data, hidden layers process it, and output layer produces the result.
How Training Works
Every connection has a weight. During training, the network compares its output to the correct answer and adjusts weights through backpropagation. Deep learning uses many hidden layers for complex pattern recognition.
Real-World Applications
Neural networks power image recognition, language translation, medical diagnosis, autonomous vehicles, and much more.
Watch the Full Explanation
🎬 How Neural Networks Actually Work – Explained Simply
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