Derivation

An Accessible Derivation of Linear Regression

The maths behind the model, from additive assumptions to pseudoinverse matricesTechnical disclaimer: It is feasible to derive a model without normality assumptions. We’ll go down this route since it’s straightforward enough to grasp and...

Backpropagation: Step-By-Step Derivation

Complete guide to the algorithm used to coach neural networksIndeed, the output has increased from 0.6718 to 0.7043!Final NotesAll images unless otherwise noted are by the writer.Thanks for reading!References Rumelhart, David E., Geoffrey E....

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