mnist-cnn-classifier / requirements.txt
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Initial upload: MNIST CNN classifier with 99.60% accuracy
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��absl-py==2.3.1
astunparse==1.6.3
certifi==2026.1.4
charset-normalizer==3.4.4
colorama==0.4.6
contourpy==1.3.3
cycler==0.12.1
filelock==3.20.2
flatbuffers==25.12.19
fonttools==4.61.1
fsspec==2025.12.0
gast==0.7.0
google-pasta==0.2.0
grpcio==1.76.0
h5py==3.15.1
idna==3.11
Jinja2==3.1.6
joblib==1.5.3
keras==3.13.0
kiwisolver==1.4.9
libclang==18.1.1
Markdown==3.10
markdown-it-py==4.0.0
MarkupSafe==3.0.3
matplotlib==3.10.8
mdurl==0.1.2
ml_dtypes==0.5.4
mpmath==1.3.0
namex==0.1.0
networkx==3.6.1
numpy==2.4.0
opt_einsum==3.4.0
optree==0.18.0
packaging==25.0
pandas==2.3.3
pillow==12.1.0
protobuf==6.33.2
Pygments==2.19.2
pyparsing==3.3.1
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.3
requests==2.32.5
rich==14.2.0
scikit-learn==1.8.0
scipy==1.16.3
seaborn==0.13.2
setuptools==80.9.0
six==1.17.0
sympy==1.14.0
tensorboard==2.20.0
tensorboard-data-server==0.7.2
tensorflow==2.20.0
termcolor==3.3.0
threadpoolctl==3.6.0
torch==2.9.1
torchvision==0.24.1
tqdm==4.67.1
typing_extensions==4.15.0
tzdata==2025.3
urllib3==2.6.3
Werkzeug==3.1.4
wheel==0.45.1
wrapt==2.0.1