Adam: A Method for Stochastic Optimization
The algorithm updates exponential moving averages of the gradient ( m t) and the squared gradient (vt) where the hyper-parameters 1; 2 2 [0;1) control the exponential decay rates of these moving averages. The moving averages themselves are estimates of the 1 st moment (the mean) and the 2nd raw moment (the uncentered variance) of the gradient ...
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