title: Visualizing the features of a pretrained network in TensorFlow
body: <p>For a medical application I am retraining the pretrained <em>Inception-v3</em> network using <em>TensorFlow</em>.</p>
  
  <p>This network has a final layer:</p>
  
  <blockquote>
    <p>pool_3:0 (2048 features)</p>
  </blockquote>
  
  <p>Using TF's classify_image, I figured out which of these features are most important for each sample.  So there is an array with the indexes of the top-N features, sorted on weights.</p>
  
  <p>The next step is to <strong>visualize the feature vector</strong> to better understand the results.</p>
  
  <p>How would I go about doing this? Is TensorBoard capable of this?
  I am at a bit of a loss. Any suggestion/help is appreciated!</p>