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Code.hub on Instagram: "This image shows how backpropagation works in a neural network 🧠. You feed inputs 𝑥1, 𝑥2, 𝑥3, into the network 👉, they pass through hidden neurons, and the network gives a predicted output 🎯. . Then we compare that prediction with the actual answer to calculate the error ❌. . That error is sent backward through the network 🔄, and every weight (w1, w2, w3…) is adjusted so the model learns from its mistake and improves next time 📉➡️📈. . This loop continues until th
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