Pdf - Kakagrad
Does what it says on the box. 🟢
The mathematical engine of backpropagation is the Chain Rule. If you have a function $y = f(g(x))$, the derivative of $y$ with respect to $x$ is: $$ \fracdydx = \fracdydg \cdot \fracdgdx $$ kakagrad pdf
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A significant portion of the Kakagrad PDF is dedicated to the distinction between the forward and backward passes:
The heart of any AutoDiff engine is the computational graph. The Kakagrad PDF visualizes mathematical expressions as a directed acyclic graph (DAG).