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Update blog/_posts/2019-01-18-fluxdiffeq.md
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Co-Authored-By: ChrisRackauckas <[email protected]>
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oxinabox and ChrisRackauckas authored Jan 23, 2019
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Expand Up @@ -606,7 +606,7 @@ Flux.train!(loss_n_ode, ps, data, opt, cb = cb)

![Neural ODE Train](https://user-images.githubusercontent.com/1814174/51585825-dc3f8480-1ea8-11e9-8498-18cf55fba3e6.gif)

Notice that what's not being learned is the solution to the ODE.
Notice that we are not learning a solution to the ODE.
Instead, what we are learning is the tiny ODE system from which the ODE
solution is generated. I.e., the neural network inside the neural_ode
layer learns this function:
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