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    "info": {
        "author": "Gordon MacMillan",
        "author_email": "gmacilla@ymail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
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        "description": "\n# LensFlare\n\nLensFlare is an example package I created to help myself and others better understand neural networks. A lot of the code is based off work that I did in the [Coursera deeplearning.ai course](https://www.coursera.org/specializations/deep-learning)\n\nAn example work flow is shown below:\n\n\n```python\nimport tensorflow as tf\nfrom lensflare.classification import TfNNClassifier\nfrom lensflare.util import load_moons_dataset\n```\n\n\n```python\nX_train, y_train = load_moons_dataset()\n```\n\n\n![png](lensflare_api_example_files/lensflare_api_example_2_0.png)\n\n\n\n```python\ntf.reset_default_graph()\n\n# layer_dims contains neural network structure parameters\nlayers_dims=[X_train.shape[0], 200, 80, 10, 1]\nclf = TfNNClassifier(layers_dims=layers_dims,\n                  optimizer=\"adam\",\n                  lambd=.05,\n                  keep_prob=0.7,\n                  num_epochs=5000)\nclf.fit(X_train, y_train, seed=3)\ny_pred_train = clf.transform(X_train, y_train)\n```\n\n    Cost after epoch 0: 1.036825\n    Cost after epoch 1000: 0.108737\n    Cost after epoch 2000: 0.104837\n    Cost after epoch 3000: 0.106805\n    Cost after epoch 4000: 0.105311\n    INFO:tensorflow:Restoring parameters from results/model\n    Training Accuracy: 0.983333333333\n\n\n\n```python\nfrom lensflare.funcs.tf_funcs import plot_decision_boundary, predict_dec\n# Plot decision boundary\n\npredictions, X, dropout_var, sess = predict_dec()\nmodel = lambda X_train: sess.run([predictions], feed_dict={X:X_train, dropout_var: 1.0});\n\nplot_decision_boundary(model, X_train, y_train)\nsess.close()\n```\n\n    INFO:tensorflow:Restoring parameters from results/model\n\n\n\n![png](lensflare_api_example_files/lensflare_api_example_4_1.png)\n\n\n\n",
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        "name": "LensFlare",
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        "summary": "A small library of hand-rolled deep learning models",
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