Add EfficientNet-B0 to the pretrained builder
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- Half a day
- Newbie friendliness
- 45/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- machine-learning
Research direction
Start in src/pretrained.py with the build_pretrained function that issue #35 sets up, and add an efficientnet_b0 branch next to the existing architecture. Issue #36 depends on #35, so check that it has landed first. Done means a forward pass on a (1,3,64,64) input returns shape (1,3), the trainable parameter count is about 4.0M, and both models print their parameter counts.
Written by the indexing model from the issue text.
Description
Same function, second architecture.
Files: src/pretrained.py
Tasks
- Support
efficientnet_b0inbuild_pretrained - Print parameter counts of both
Done when
Forward of (1,3,64,64) returns (1,3); about 4.0M trainable params.
Depends on
#35
Close with a commit or PR message containing Closes #<this issue>.
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 0
- Avg merge
- 1m
- Merged PRs (30d)
- 3
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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