00_multiply.ipynb

{
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  {
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   "source": [
    "# Matrix multiplication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "With eager execution enabled by default, we can use eager tensors and multiply them directly"
   ]
  },
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   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[7]] should equal [[7]]\n"
     ]
    }
   ],
   "source": [
    "a = tf.constant([1], shape=[1, 1])\n",
    "b = tf.constant([7], shape=[1, 1])\n",
    "c = tf.matmul(a, b)\n",
    "print(c.numpy(), 'should equal [[7]]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[9]] should equal [[9]]\n"
     ]
    }
   ],
   "source": [
    "a = tf.constant([3], shape=[1, 1])\n",
    "b = tf.constant([3], shape=[1, 1])\n",
    "c = tf.matmul(a, b)\n",
    "print(c.numpy(), 'should equal [[9]]')"
   ]
  }
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