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docs/src/examples/augmented_neural_ode.md
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### Models
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We consider 2 models in this tutorial. The first is a simple Neural ODE which is described in detail in
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-[this tutorial](https://docs.sciml.ai/SciMLSensitivity/stable/examples/neural_ode/neural_ode_flux/). The other one is an
+[this tutorial](@ref neural_ode). The other one is an
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Augmented Neural ODE \[1]. The idea behind this layer is very simple. It augments the input to the Neural
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DE Layer by appending zeros. So in order to use any arbitrary DE Layer in combination with this layer,
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simply assume that the input to the DE Layer is of size `size(x, 1) + augment_dim` instead of `size(x, 1)`
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