Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input

    Maxence Ernoult
    Maxence Ernoult
    Benjamin Scellier
    Benjamin Scellier
    Click here to see all papers in nips2019
    Cited by: 0|Bibtex|99|

    NeurIPS, 2019.

    primitive functionsteady state


    Equilibrium Propagation (EP) is a biologically inspired learning algorithm for convergent recurrent neural networks, i.e. RNNs that are fed by a static input x and settle to a steady state. Training convergent RNNs consists in adjusting the weights until the steady state of output neurons coincides with a target y. Convergent RNNs can als...More
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