By: JuliaLang - The Julia programming language
Re-posted from: https://julialang.org/blog/2017/12/ml-pl/
On Machine Learning and Programming Languages | > Any sufficiently complicated machine learning system contains an ad-hoc, informally-specified, bug-ridden, slow implementation of half of a programming language.^greenspun …
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By: JuliaLang - The Julia programming language
Re-posted from: https://julialang.org/blog/2017/11/gsoc-ode/
GSoC 2017: Native Julia second order ODE and BVP solvers | My original GSoC project was about implementing native Julia solvers for solving boundary value problems (BVPs) that were determined from second order ordinary differential equations (ODEs). I started down the BVP path, built a shooting method to solve BVPs from initial value problems (IVPs), and the…
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By: JuliaLang - The Julia programming language
Re-posted from: https://julialang.org/blog/2017/10/gsoc-NeuralNetDiffEq/
NeuralNetDiffEq.jl: A Neural Network solver for ODEs | My GSoC 2017 project (https://summerofcode.withgoogle.com/projects/#5850956641075200) was to implement a package for Julia to solve Ordinary Differential Equations using Neural Networks….
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