LA_Ch01_03_Ex01.ipynb

la_ch01_03_ex01.ipynb

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        "import tensorflow as tf\n",
        "import numpy as np\n",
        "\n",
        "u = np.array([1,-2], dtype=float)\n",
        "v = np.array([2,-5], dtype=float)\n",
        "\n",
        "u = tf.constant(u, shape=(2,1))\n",
        "v = tf.constant(v, shape=(2,1))\n"
      ],
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      "outputs": []
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        "4*u"
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              "<tf.Tensor: shape=(2, 1), dtype=float64, numpy=\n",
              "array([[ 4.],\n",
              "       [-8.]])>"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
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    {
      "cell_type": "code",
      "source": [
        "-3*v"
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              "<tf.Tensor: shape=(2, 1), dtype=float64, numpy=\n",
              "array([[-6.],\n",
              "       [15.]])>"
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          },
          "metadata": {},
          "execution_count": 41
        }
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        "4*u-3*v"
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              "<tf.Tensor: shape=(2, 1), dtype=float64, numpy=\n",
              "array([[-2.],\n",
              "       [ 7.]])>"
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          },
          "metadata": {},
          "execution_count": 42
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