title: Feeding values to a Variable using feed_dict in TensorFlow
body: <p>I'm through <b><a href="https://www.tensorflow.org/get_started/mnist/pros" rel="nofollow noreferrer">https://www.tensorflow.org/get_started/mnist/pros</a></b>.
  Reading "Note that you can replace any tensor in your computation graph using feed_dict -- it's not restricted to just placeholders," I tried to give values to a Variable using feed_dict as follows:</p>
  
  <pre><code>print(accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels, 
                             W[:, :]: np.zeros((784, 10))}))
  </code></pre>
  
  <p>However, it gave the original accuracy 0.9149 (I expected around 0.1).
  Can I give constant values to Variables after initialization using feed_dict?</p>