Lesson 2-1 (make & initiate graph).ipynb

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   "source": [
    "import tensorflow as tf"
   ]
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      "Tensor(\"Const:0\", shape=(1, 2), dtype=int32)\n",
      "Tensor(\"Const_1:0\", shape=(2, 1), dtype=int32)\n",
      "Tensor(\"MatMul:0\", shape=(1, 1), dtype=int32)\n"
     ]
    }
   ],
   "source": [
    "# make a constant operation\n",
    "m1 = tf.constant([[3,3]])\n",
    "# make a constant operation\n",
    "m2 = tf.constant ([[2],[3]])\n",
    "#make a product op, insert m1 and m2\n",
    "product = tf.matmul(m1,m2)\n",
    "print (m1)\n",
    "print (m2)\n",
    "print (product)\n"
   ]
  },
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   "cell_type": "code",
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   "metadata": {},
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     "text": [
      "[[15]]\n"
     ]
    }
   ],
   "source": [
    "#define a session, initiate default chart\n",
    "sess = tf.Session()\n",
    "#using the run command in session to execute the product op\n",
    "#run(product) activated the three operations m1, m2, product\n",
    "result = sess.run(product)\n",
    "print(result)\n",
    "sess.close()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "[[15]]\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as sess:\n",
    "    result = sess.run(product)\n",
    "    print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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