Implement CPU Layers
Open
- Dominant language
- Rust
- Stars
- 255
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
Current checklist of layers that we want to implement:
- [x] Activation Layer
- [x] Conv2D Layer
- [x] Dense Layer
- [x] Dropout1D Layer
- [x] Dropout2D Layer
- [x] Flatten Layer
- [x] Pool2D Layer
- [ ] BatchNorm Layer
- [x] BatchNorm2D Layer
- [ ] ConvTranspose2D Layer
Contributor guide
Research direction
Start by inspecting the existing implementations of the checked layers in the repository, especially BatchNorm2D and the other CPU-backed layers. Determine the expected interfaces and behavior for BatchNorm and ConvTranspose2D, then use the existing layer tests or conventions to verify both checklist items are implemented and working.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100