L14TensorFlowIntro.ipynb

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   "cell_type": "code",
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   "source": [
    "import tensorflow as tf"
   ]
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   "execution_count": 12,
   "metadata": {},
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     "data": {
      "text/plain": [
       "<tf.Tensor 'add_4:0' shape=() dtype=int32>"
      ]
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     "execution_count": 12,
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   "source": [
    "a = tf.constant(2)\n",
    "b = tf.constant(3)\n",
    "c = a + b\n",
    "c"
   ]
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       "5"
      ]
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     "execution_count": 5,
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   "source": [
    "sess = tf.Session()\n",
    "sess.run(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[ 8,  8],\n",
       "        [18, 18]], dtype=int32), 5)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
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   "source": [
    "a1 = tf.constant([[1,2], [3,4]])\n",
    "a2 = tf.constant([[2,2], [3,3]])\n",
    "res = tf.matmul(a1, a2)\n",
    "result, resc = sess.run([res, c])\n",
    "result, resc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
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     "text": [
      "[[ 8  8]\n",
      " [18 18]]\n"
     ]
    }
   ],
   "source": [
    "#print(res.eval())\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    print(res.eval())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
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       "1224"
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     "execution_count": 49,
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   ],
   "source": [
    "var1 = tf.Variable(1221)\n",
    "#print(var1)\n",
    "var2 = tf.Variable(3)\n",
    "addition = var1 + var2\n",
    "sess = tf.Session()\n",
    "sess.run(tf.global_variables_initializer())\n",
    "#sess.run(var1.assign(1232))\n",
    "assign_object = var1.assign(1232)\n",
    "#sess.run(assign_object)\n",
    "#addition = var1 + var2\n",
    "sess.run(addition)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tensor(\"mul_14:0\", shape=(2, ?), dtype=int32)\n",
      "[[ 20  40  60 100]\n",
      " [ 80 100 120 160]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[ 200,  400,  600],\n",
       "       [ 800, 1000, 1200]], dtype=int32)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = tf.placeholder(tf.int32, shape=(2, None))\n",
    "y = x * tf.constant(20)\n",
    "print(y)\n",
    "sess = tf.Session()\n",
    "print(sess.run(y, feed_dict={x:[[1,2,3, 5],[4,5,6, 8]]}))\n",
    "sess.run(y, feed_dict={x:[[10,20,30],[40,50,60]]})"
   ]
  }
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