Test Post (Perceptron Algorithm)
04 February, 2024
Categories: machine learning, perceptron, algorithm
My problems with this algorithm began when people online were suggesting that a step (piecewise constant) function is differentiable (including at points of discontinuity). “Just throw the gradient1 descent optimisation algorithm at it!” is not gonna fly with me. I went in search of a more rigorous treatment of this algorithm.
\begin{equation} \dfrac{\partial}{\partial \theta_{i}} f(x, \Theta) \tag{1} \label{eqone} \end{equation}
This is a reference to the tagged equation \eqref{eqone}.
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Some footnote. ↩