{"cells":[
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
   "collapsed": false
  },
  "outputs": [],
  "source": "import h5py\nimport pandas as pd\nimport zipfile\n\n# scikit-learn\nfrom sklearn import cross_validation, preprocessing\nfrom sklearn.decomposition import PCA\nfrom sklearn.metrics import log_loss\n\n# keras\nfrom keras.layers.advanced_activations import PReLU\nfrom keras.layers.core import Dense, Dropout, Activation\nfrom keras.layers.normalization import BatchNormalization\nfrom keras.models import Sequential\nfrom keras.objectives import sparse_categorical_crossentropy\nfrom keras.utils import np_utils"
 },
 {
  "cell_type": "code",
  "execution_count": null,
  "metadata": {
   "collapsed": false
  },
  "outputs": [],
  "source": ""
 }
],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}}, "nbformat": 4, "nbformat_minor": 0}