title: Optimize Tensorflow-GPU
body: <p>I am learning deep learning on Udemy. I have installed Tensorflow-GPU and it's working fine. In the tutorial, he uses Tensorflow on his CPU and it seems to work 10x faster then mine working on a GPU. I know i cannot compare the 2 but it seems weird. I have following questions:</p>
  
  <ol>
  <li>Am i doing anything wrong?</li>
  <li>If not, is there a way to improve the performance? If yes, please guide me for the same.</li>
  </ol>
  
  <p>My system specs:</p>
  
  <ul>
  <li>Intel Core i7-8550U</li>
  <li>NVIDIA GeFotce MX150</li>
  <li>Windows 10 64-Bit</li>
  <li>Anaconda environment</li>
  </ul>
  
  <p>Thanks.</p>
  
  <hr>
  
  <p>EDIT: I Used this command while running tensorflow <code>nvidia-smi -q -g 0 -d UTILIZATION -l</code> and got the following:
  <a href="https://i.stack.imgur.com/siOPL.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/siOPL.png" alt="enter image description here"></a></p>