Jonathan Chassot

Recordings of the econometric society summer school on „deep learning“ finally online: youtube.com/playlist?list=… Codes here: github.com/dseconf/DSE2023 @MarlonAzinovic @Fedor_Iskhakov @schjerning1975 @john_stachurski @QuantEcon @HECLausanneEcon @econ_ark @YuchengYang1993 @dseconf

DSE2023 @dseconf on "Deep Learning for Solving and Estimating Dynamic Models" is on now @heclausanne @HECLausanneEcon Materials are publicly available here: github.com/dseconf/DSE2023 Today: John Rust, @john_stachurski @QuantEcon @Fedor_Iskhakov

Registration for the Econometric Society Conference on "Deep Learning for Solving and Estimating Dynamic Models", at the Lausanne @heclausanne @unil , Switzerland August 24-25, 2023, is now open: The program and registration link can be found here: dseconf.org/dse2023conf#

I wrote a brief model-zoo example on how to build recurrent networks to model AR(p) processes: github.com/FluxML/model-z… Always glad for some feedback or suggestions on what examples to add next! #FluxML #JuliaLang #RNN

Ever wanted to write a sequence-to-one deep learning model in @JuliaLanguage using @FluxML? Here's a quick post with an example of how to do just that! #JuliaLang #FluxML #DeepLearning #RNN jldc.ch/posts/sequence…

@o_eleftherakou @JuliaLanguage Pretty cool! I'll leave this here because it's related and I was amazed by its speed when I first tried it out in Julia, perhaps you will enjoy it as well :)

Fibonacci party with @JuliaLanguage 🥳😍 #JuliaLang #Fibonacci #Mathematics #algorithm #coding medium.com/dev-genius/cre…

Some ramblings on how to use recurrent models in @FluxML Part 1: jldc.ch/posts/recurren… Part 2: jldc.ch/posts/batching… Hopefully more coming after a soon due conference paper! (... with some model-zoo examples 👀) #JuliaLang #FluxML #RNN