 Use cases
 These ResNet models perform image classification - they take images as input and classify the major object in the image into a set of pre-defined classes. They are trained on ImageNet dataset which contains images from 1000 classes. ResNet models provide very high accuracies with affordable model sizes. They are ideal for cases when high accuracy of classification is required.
 
 ImageNet trained models are often used as the base layers for a transfer learning approach to training a model in your domain.  Transfer learning can significantly reduce the processing necessary to train an accurate model in your domain.  This model was published here with the expectation that it would be useful to the Elixir community for transfer learning and other similar approaches.
 
 