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ararslan Fill out the documentation page on custom sensitivities (#170)
* Fix a couple of typos in the details page

* Fill out the documentation on custom sensitivities

* Clarify explicit_intercepts in the complex example
Latest commit 0aa0c20 Jun 6, 2019


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Nabla.jl is a reverse-mode automatic differentiation package targetting machine learning use cases. As such, we have (for example) prioritised support for linear algebra optimisations and higher-order functions over the ability to take higher-order derivatives (Nabla currently only supports first-order derivatives).

The latest docs, and code in the examples folder, best indicate how to use the package. Given the early stage of development, we anticipate a number of bugs and performance issues. If you encounter any of these or have any particular feature requests, please raise an issue and let us know.

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