Difference between revisions of "Backpropagation"
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* [[Chain rule]] | * [[Chain rule]] | ||
* [[N400]] | * [[N400]] | ||
| + | * [[Optical computing]] | ||
* {{ML}} | * {{ML}} | ||
* {{NN}} | * {{NN}} | ||
Revision as of 01:16, 21 November 2023
wikipedia:Backpropagation ML algorithm computes the gradient in weight space of a feedforward neural network, with respect to a loss function
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- Artificial neural networks, Neuronal network (NN), CNN, Micrograd, NPU, ConvNet, AlexNet, GoogLeNet, Apache MXNet, Neural architecture search, DAG, Feedforward neural network, NeurIPS, Feature Pyramid Network, TPU, NPU, Apple Neural Engine (ANE), LLM, TFLOPS
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