JuliaSmoothOptimizers / JuliaSmoothOptimizers/FluxNLPModels.jl
Change the MSE to Cross Entropy loss in examples
Open
- Dominant language
- Julia
- Stars
- 7
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
We have a small issue since the loss used should be Cross Entropy loss
Contributor guide
Research direction
Locate the example files that define the current MSE loss and read how their training objectives are configured. Replace the loss with Cross Entropy in the affected examples, then run the relevant example checks or tests if available and confirm they still train or execute successfully.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100