Let's get acquainted with a new model family: Ordinary Differential Equations. Instead of specifying a discrete sequence of hidden layers, they parameterize the derivative of the hidden state using a neural network. The results of the model are calculated using a "black box", that is, the Differential Equation Solver. These continuous-depth models use a constant amount of memory and adapt their estimation strategy to each input signal. Such models were first introduced in the paper "Neural Ordinary Differential Equations". ...
Songs by Pharrell, Elton John, and Lainey Wilson, as well as multiple selections from Emelia Pérez, have made the Oscars’ shortlist for Best Original Song. more...
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