MindBook.ipynb

{
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   "id": "52768d36",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pylab import rcParams\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import rc\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "\n",
    "%matplotlib inline\n",
    "# %config InlineBackend.figure_format='retina'\n",
    "\n",
    "register_matplotlib_converters()\n",
    "sns.set(style='whitegrid', palette='muted', font_scale=1.5)\n",
    "\n",
    "rcParams['figure.figsize'] = 22, 10\n",
    "\n",
    "RANDOM_SEED = 42\n",
    "\n",
    "np.random.seed(RANDOM_SEED)\n",
    "tf.random.set_seed(RANDOM_SEED)\n",
    "print(\"Done\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "d678def3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/hamednejat/miniforge3/envs/tensorflow_silicon/bin/python'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "sys.executable"
   ]
  },
  {
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   "id": "b6642394",
   "metadata": {},
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