A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions

Research article (Zeitschrift für angewandte Mathematik und Physik, 2022) · cited 13× · AI/ML
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A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions

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A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-proof-of-convergence-for-stochastic-gradient-descent-in-the-training-of-artificial-neural-networks-with-relu-activatio
MLA “A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-proof-of-convergence-for-stochastic-gradient-descent-in-the-training-of-artificial-neural-networks-with-relu-activatio.
BibTeX @misc{4ortxyz_a-proof-of-convergence-for-stochastic-gradient-descent-in-the-training-of-artificial-neural-networks-with-relu-activatio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A proof of convergence for stochastic gradient descent in the training of artificial neural networks with ReLU activation for constant target functions}}, year = {2026}, url = {https://4ort.xyz/entity/a-proof-of-convergence-for-stochastic-gradient-descent-in-the-training-of-artificial-neural-networks-with-relu-activatio}, note = {Accessed: 2026-05-24}}
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