Matrix Multiplication: Transforming Data Into Meaning

Here is something most AI tutorials hide from you. A neural network layer is matrix multiplication. Not kind of. Not metaphorically. When your network takes an input and transforms it through a hidden layer, what is actually happening is one matrix multiplied by another. Strip away the jargon about neurons and activation functions and layers, and underneath it all there is a matrix multiply. Understanding this does not just satisfy curiosity. It tells you why layers work, why shapes matter so...

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