We build a neural ordinary differential equation model using Equinox to represent the system dynamics with a neural network. We define a loss function and optimization procedure using Optax so that the model can learn the underlying dynamics from data. We then train the neural ODE using the differential equation solver and evaluate its performance, benchmarking the solver with JAX’s JIT compilation.
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A lot has changed since 2022, when Europe decided to phase out its reliance on Russian gas, oil and coal and become more energy independent, following Moscow's widespread assault on Ukraine.
第四个挑战是改变开发者的工作方式。