DiffEqFlux.jl – A Julia Library for Neural Differential Equations

| In this blog post we will show you how to easily, efficiently, and robustly use differential equation (DiffEq) solvers with neural networks in Julia. The Neural Ordinary Differential Equations paper has been a hot topic even before it made a splash as Best Paper of NeurIPS 2018. The paper already gives many exciting results combining these two disparate fields, but this is only the beginning: neural networks and differential equations were born to be together. This blog post, a collabor

Keywords: julia
Date: 2019/01/23 20:15

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