matrix_math_tf.ipynb

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   "source": [
    "from __future__ import print_function\n",
    "import numpy as np\n",
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
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   "source": [
    "x = tf.placeholder(shape=(None,2), dtype=tf.float32)\n",
    "c = tf.placeholder(shape=(2,2), dtype=tf.float32)"
   ]
  },
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   "cell_type": "code",
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     "text": [
      "[[ 16.  19.]]\n"
     ]
    }
   ],
   "source": [
    "sess = tf.Session()\n",
    "print(sess.run(tf.matmul(x,c), feed_dict={x: np.asarray([[1,2]]), \n",
    "                                          c: np.asarray([[4,5],[6,7]])}))"
   ]
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   "execution_count": 43,
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     "output_type": "stream",
     "text": [
      "[array([[  9.,  13.]], dtype=float32)]\n"
     ]
    }
   ],
   "source": [
    "print(sess.run(tf.gradients([tf.matmul(x,c)], x), feed_dict={x: np.asarray([[1,2]]), \n",
    "                                                            c: np.asarray([[4,5],[6,7]])}))"
   ]
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   "source": []
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