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Adadelta: an adaptive learning rate method

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We present a novel per-dimension learning rate method for gradient descent called ADADELTA. The method dynamically adapts over time using only first order information and has minimal computational overhead beyond vanilla stochastic gradient descent.2012年12月22日
由 MD Zeiler 著作2012被引用 5657 次 — ADADELTA: AN ADAPTIVE LEARNING RATE METHOD. Matthew D. Zeiler1,2∗. 1Google Inc., USA. 2New York University, USA. ABSTRACT.
... Zeiler et al. [45] introduced the Adadelta, which focuses on the learning rate component. Instead of accumulating past gradients, it uses fixed-sized ...
We present a novel per-dimension learning rate method for gradient descent called ADADELTA. The method dynamically adapts over time using only first order ...

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2017年9月10日 — ADADELTA: AN ADAPTIVE LEARNING RATE METHOD. 3 年前. Introduction. Object: Choose the learning rate by introducing a new learning rate that is ...
2015年10月27日 — We present a novel per-dimension learning rate method for gradient descent called ADADELTA. The method dynamically adapts over time using ...
Optimizer that implements the Adadelta algorithm. Adadelta optimization is a stochastic gradient descent method that is based on adaptive learning rate per ...
... title = {ADADELTA: An Adaptive Learning Rate Method}, url = {http://dblp.uni-trier.de/db/journals/corr/corr1212.html#abs-1212-5701}, ...

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