I read the Blog about “Composability in Julia: Implementing Deep Equilibrium Models via Neural ODEs”. I tried to reproduce the code to train the MNIST dataset, but it returns an error during training: ERROR: MethodError: no method matching needs_concrete_A(::Nothing) Closest candidates are: need…

You should use GitHub - SciML/DeepEquilibriumNetworks.jl: Deep Equilibrium Networks (but faster!!!) instead of the code in the blog post. Updating the blog post has been on my todo list for quite some time.

Error in training Deep Equilibrium Models (DEQ)

General Usage

Tomas_Pevny September 29, 2022, 4:36am 2

You should provide minimal working example. Without it no-one can help you.

1 Like

Topic		Replies	Views
What to do when the DEQ model does not converge？ Numerics question , diffeq , sciml	6	736	December 26, 2021
DifferentialEquations.jl + Flux.jl or Knet.jl Machine Learning diffeq	15	3648	October 18, 2018
DiffEqFlux, Neural ODEs: Unable to run example code New to Julia flux , ode , neural-network	3	548	September 17, 2021
How do I debug this in diffeqflux? General Usage	38	1911	November 15, 2020
DiffEqFlux.jl – A Julia Library for Neural Differential Equations Machine Learning diffeq	1	1069	January 24, 2019

Error in training Deep Equilibrium Models (DEQ)

Related topics