Image-Classification-CNN AmirhosseinHonardoust · PARTIAL
Image classification with PyTorch using Convolutional Neural Networks (CNNs). Trains on MNIST with convolution, pooling, and fully connected layers. Achieves over 99% accuracy with early stopping and checkpoints. Includes training/evaluation scripts, metrics, confusion matrix, training curves, and sample prediction visualizations.
github.com/AmirhosseinHonardoust/Image-Classification-CNN · ★ 27 · Forks 0 · Size 12.7 MB
SUMMARY
Technologies 10
Scored 9
Observed 9
Practices 6
Evidence 12
Skips 1
COVERAGE
Analyzed 32 files · 22 commits · 0 API calls
TECHNOLOGIES & DEPTH
Dockerfile LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
5 files · PRODUCTION
YAML LANGUAGE Depth 70
3 files · PRODUCTION
Python LANGUAGE Depth 70
14 files · PRODUCTION
pip BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
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NumPy LIBRARY Depth —
0 files · config only
pytest TESTING Depth 34
1 files · TEST
PRACTICES
documentation · observedautomated_tests · observedcontinuous_integration · observedcontainerization · observedlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-09-11
Last commit 2026-09-06
Active months 3
Commits 22