Resources for Differentiable Programming

[franfram]

Hello everyone,
I’m looking for workshops or another type of resource for learning differentiable programming with Julia (other than julia’s documentation on differentiable programming packages like Zygote).

Any resource is much appreciated

Thank you,
Fran

[jgreener64]

You might have seen some of these already but there is:

• Differentiation for Hackers by Mike Innes.
• The SciML book covering the MIT Course “Parallel Computing and Scientific Machine Learning”.
• The DiffEqFlux.jl blog post describing at neural DEs.

From outside Julia there is also:

• A recent blog post, converting that to Julia could be an interesting learning exercise (and possibly useful for others).
• The Physics-based Deep Learning Book which is free online.

[mohamed82008]

Shameless self promotion Understanding automatic differentiation (in Julia) - YouTube

[franfram]

Thank you for all the resources!