Jacobian (extension of gradients)

ctongfei / nexus

Experimental tensor-typed deep learning

https://tongfei.me/nexus/

MIT License

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Open ctongfei opened 5 years ago

ctongfei commented 5 years ago

Given D[_]: DifferentiableAlgebra,

  def jacobian[X, Y, `∂Y/∂X`](y: D[Y], x: D[X])(implicit J: Jacobian.Aux[X, Y, `∂Y/∂X`]): `∂Y/∂X`

How should we define Jacobian.Aux for all differentiable types?