title: MobileNet Pre-Trained Model - Classification
body: <p>I am currently working with a pre-trained MobileNet model that classifies images from a set of 1000 categories. For the purpose of my IOS application, I only need it to recognize/classify one type of object in the scene. How can I train the model so that it only classifies the one object I need but does it extremely well?</p>
  
  <p>I am new to machine learning and unfamiliar with transfer learning techniques. Would doing this type of training reduce the model size and make it more efficient at recognizing the one object I need? If yes, what are resources that teach me how to keep training this pre-trained model for my objective. </p>