TensorFlow 1.ipynb

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    "import tensorflow as tf"
   ]
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    "* The central unit of data in TensorFlow is the tensor. \n",
    "* A tensor consists of a set of primitive values shaped into an array of any number of dimensions. \n",
    "* A tensor's rank is its number of dimensions. \n",
    "* [\n",
    "    [\n",
    "      [1., 2., 3.]\n",
    "    ], \n",
    "    [\n",
    "      [7., 8., 9.]\n",
    "    ]\n",
    "  ] # rank 3, shape [2,1,3]"
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   "source": [
    "## Computational Graph \n",
    "* A series of TensorFlow operations aranged into a graph of nodes.\n",
    "* Building computational graph\n",
    "* Running computational graph"
   ]
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    "n1 = tf.constant(10.0, tf.float32)"
   ]
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    "n2 = tf.constant(5.0)"
   ]
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     "data": {
      "text/plain": [
       "<tf.Tensor 'Const:0' shape=() dtype=float32>"
      ]
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    "n1"
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   "source": [
    "sess = tf.Session()"
   ]
  },
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     "data": {
      "text/plain": [
       "[10.0, 5.0]"
      ]
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    "sess.run([n1,n2])"
   ]
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