using CSV, DataFrames using Flux, Statistics, ProgressMeter using Plots using CUDA,AMDGPU; # Read the CSV file into a DataFrame df = CSV.File("real_values_ex_00_fixed_time_step.csv") |> DataFrame # Extract the temperature and time steps vectors Temperatura = df[1:10:end, 2] tsteps = df[1:10…

I have temperature and date data and my goal is to train an MLP neural network in flux for future temperature prediction

I am recently in julia and would like to know how to improve performance, after a while my training reaches a minimum it seems to me

Is there a reason to expect more performance out of this simple network? We don’t really know what data you have, or how well it performs. It might be easier to give feedback if you provide more details. Is there a reason you don’t use a recurrent network for this, they are typically good at time-…

[image] Mak: I am recently in julia and would like to know how to improve performance, after a while my training reaches a minimum it seems to me That’s good! It means you’ve successfully converged on the optimal parameters. For a simpler example, you can think of linear regression, where we…

Lack of performances in Flux MLP

New to Julia

gvdr October 15, 2023, 8:35am 2

Hi Mak, it’s not clear what you are trying to ask. Maybe take a look here Please read: make it easier to help you

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Lack of performances in Flux MLP

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