Fitting Neural Ordinary Differential Equations With DiffeqFlux.jl | Elisabeth Roesch | JuliaCon 2019

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At 6:47, that last line of code is used to get the Flux parameters ps. ps will have 252 entries (100 for W1, 50 for b1, 100 for W2, and 2 for b2). How can I map each of the 252 entries in the 252x1 'ps' vector to each entry in W1, b1, W2, b2? These 4 matrices define the 2 dense layers in the previous lines of code. Can you provide a few lines of julia code that give these W1, b1, W2, b2 matrices, showing the learnt/trained/final parameters after training? Thanks

mroverlin
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Hello, i suppose t is high time to build up community resource so as to enable beginners grasp the scope of your works.

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