Academic project
Rete neurale MLP
How a neural network learns
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OVERVIEW
A small educational project for the AI and Machine Learning for Marketing course, exploring how Multilayer Perceptron networks work. Using a simplified example with simulated data on email opens, clicks and purchases, I explain artificial neurons, the forward pass and the backward pass, visualising how weights, predictions and error change during learning.
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