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        "author": "Taylor Denouden",
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        "description": "# DeepModels\nImplementations of various deep learning models using Keras.\n\n## Requirements\nAn existing installation of either Tensorflow or Theano.\n\n## Installation\n```\npip install deep-models\n```\n\n## Usage\n\nThe models are implemented using Keras and instantiation returns a Keras Model object unless otherwise noted.\n\n### Wide Residual Network\n```python3\nfrom deep_models import wide_residual_network as wrn\n\n# Load your data\ntrainX = ...\ntrainY = ...\nimg_shape = (32, 32, 3)\n\n# Create the model\n# k is the width, 6 * n + 4 is the depth\nmodel = wrn.build_model(img_shape, classes=10, n=4, k=10, dropout=0.3)\n\n# Train the model\nmodel.compile(loss=\"categorical_crossentropy\", optimizer=\"adam\", metrics=[\"acc\"])\nmodel.fit(\n    trainX, trainY,\n    batch_size=128,\n    epochs=100,\n    validation_split=0.2)\n```\n\n## Examples\nSome working examples are available in the notebooks directory.\n\n## License\nSee LICENSE file",
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