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For questions about Adam, a gradient-based optimization algorithm widely used to train neural networks. It was proposed in the paper "Adam: A Method for Stochastic Optimization" (2014) by Diederik P. Kingma and Jimmy Ba.
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Why is Adam trapped in bad/suspicious local optima after the first few updates?
Diving further, in section 3.2:
Adam uses the exponential moving average to calculate the adaptive learning rate. …