1676Leibniz's Derivation of the Chain Rule

Leibniz derived the chain rule. The rule is used by AI to tr...
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Year
1676
1970

📐 Leibniz's Derivation of the Chain Rule

Leibniz derived the Chain rule. The rule is used by AI to train neural networks, for example the Backpropagation algorithm uses the Chain rule.
Leibniz's Derivation of the Chain Rule (1676)
CalculusMathematicsChain RuleNeural NetworksBackpropagationMachine LearningOptimization
GermanyGermany

🧮 Linnainmaa Publishes Reverse Mode Automatic Differentiation

Seppo Linnainmaa publishes the reverse mode of Automatic differentiation. This method became later known as Backpropagation, and is heavily used to train Artificial neural networks.
Linnainmaa Publishes Reverse Mode Automatic Differentiation (1970)
BackpropagationAutomatic DifferentiationNeural NetworksMachine LearningDeep LearningOptimizationTraining AlgorithmsSeppo Linnainmaa
FinlandFinland