title: Faster RCNN transfer learning Keras
body: <p>I have implemented with my own custom dataset a faster RCNN in Keras following this very useful guide:</p>
  
  <p><a href="https://medium.com/analytics-vidhya/a-practical-implementation-of-the-faster-r-cnn-algorithm-for-object-detection-part-2-with-cac45dada619" rel="nofollow noreferrer">https://medium.com/analytics-vidhya/a-practical-implementation-of-the-faster-r-cnn-algorithm-for-object-detection-part-2-with-cac45dada619</a></p>
  
  <p>I would like to ask you some details in that implementation for those of you that already had a similar experience on that:</p>
  
  <p>Once I the code is running the compiler returns: "Could not load pretrained model weights. Weights can be found in the keras application folder \<a href="https://github.com/fchollet/keras/tree/master/keras/applications" rel="nofollow noreferrer">https://github.com/fchollet/keras/tree/master/keras/applications</a>", <strong>Does it mean that I not exploiting transfer learning?</strong></p>
  
  <p>Do you know something on that?</p>
  
  <p>Thanks in advance</p>