https://github.com/breandan/comp551-p3
ConvNet training for our COMP 551 Project.
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
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○.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (3.2%) to scientific vocabulary
Repository
ConvNet training for our COMP 551 Project.
Basic Info
- Host: GitHub
- Owner: breandan
- Language: Python
- Default Branch: master
- Homepage: https://www.kaggle.com/c/comp551-modified-mnist
- Size: 2.68 MB
Statistics
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
COMP551 - Modified MNIST Challenge
Prerequisites
Dependences:
Python 3.4+
h5py (pip)
opencv-python (pip)
TensorFlow 1.4+
To train the CNN, the following files should be present:
data/train_x.csv
data/train_y.csv
data/test_x.csv
These files can be retrieved from the COMP 551 Kaggle competiton.
Train the model
To train the model, simply run the following script: python model_baseline.py. This will save a model file to data/temp_model.hdf5.
To monitor training progress, run: tensorboard --logdir=logs
Classify the data
To classify the test data, run: python classify_data.py [optional_model_file.hdf5 (defaults to data/temp_model.hdf5)] [optional_output_file (defaults to data/test_y.csv)].
Owner
- Name: breandan
- Login: breandan
- Kind: user
- Website: http://brea.ndan.co
- Twitter: breandan
- Repositories: 185
- Profile: https://github.com/breandan
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