Multi-Path Summation: The Σ a Single-Output Network Hides
Going from 1 output neuron to 2 adds one step to backpropagation. That step is not a new rule — the multivariable chain rule had it all along.
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#Backpropagation
Gradients and Backpropagation: Three Rounds with One Cat
A 2→2→1 network, and where every single number in three rounds of training comes from. Plus two things you only see once you actually run it.