JT_201820973_HW2.ipynb

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    "<table align=\"left\">\n",
    "  <td>\n",
    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/J-TKim/Deeplearning_practice/blob/master/JT_201820973_HW2.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />구글 코랩에서 실행하기</a>\n",
    "  </td>\n",
    "</table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
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   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "[[1.]\n",
      " [1.]\n",
      " [2.]]\n"
     ]
    }
   ],
   "source": [
    "mat_A = [[2, 1, 1],\n",
    "        [4, -6, 0],\n",
    "        [-2, 7, 2]]\n",
    "\n",
    "mat_b = [[5],\n",
    "         [-2],\n",
    "         [9]]\n",
    "\n",
    "print(np.linalg.inv(mat_A).dot(mat_b))"
   ]
  }
 ],
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