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A neural network is built from multiple layers of neurons, each acting like a mathematical transformation that reshapes data as it moves from input to output. If we imagine data points inside a geometric space, every layer applies a transformation that bends, stretches, rotates, or projects those points into new forms. These transformations are usually done through matrix operations that reorganize the data in powerful ways. On their own, these linear operations can only reshape data in simple w
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