Adam: A Method for Stochastic Optimization ​

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Authors: Diederik P. Kingma, Jimmy Ba
Year: 2014
Journal: arXiv
DOI: 10.48550/arXiv.1412.6980
Publisher: https://arxiv.org/abs/1412.6980

Keywords: adam, optimization, deep learning

Abstract ​

We introduce Adam an algorithm for first-order gradient-based optimization of stochastic objective functions based on adaptive estimates of lower-order moments.

Cite this paper ​

@misc{adam2014,
  title  = {Adam: A Method for Stochastic Optimization},
  author = {Diederik P. Kingma, Jimmy Ba},
  year   = {2014},
  journal = {arXiv},
  doi    = {10.48550/arXiv.1412.6980},
  url    = {https://doi.org/10.48550/arXiv.1412.6980},
}

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