{
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{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pylab as plt\n",
"%matplotlib inline\n",
"plt.rcParams['figure.figsize'] = (16, 9)\n",
"plt.style.use('fast')\n",
"\n",
"from keras.models import Sequential\n",
"from keras.layers import Dense,Activation,Flatten\n",
"from sklearn.preprocessing import MinMaxScaler"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import install keras"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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"kernelspec": {
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