RNN-based Online Learning: An Efficient First-Order Optimization Algorithm with a Convergence Guarantee

7 Mar 2020N. Mert VuralSelim F. YilmazFatih IlhanSuleyman S. Kozat

We investigate online nonlinear regression with continually running recurrent neural network networks (RNNs), i.e., RNN-based online learning. For RNN-based online learning, we introduce an efficient first-order training algorithm that theoretically guarantees to converge to the optimum network parameters... (read more)

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