Neural Networks: From Inputs to Predictions

Build an intuition for neural networks by exploring how layers build meaning, how signals are amplified or fade, and how errors drive small adjustments. You’ll practice explaining these mechanics without jargon and weigh the practical trade-offs between model capacity, data appetite, and explainability. Master the conceptual flow from raw input to final business prediction.