The output of this step should be a dictionary. 1. The key of this dictionary is the embedding vector of each image. The value is the corresponding HRS selection (similar to a hash table). 2. Extract the first 2 classes images from ImageNet validation set to construct your new validation set. 3. Feed any image from the set above to the IV3/ResNet50 to get its corresponding embedding vector (key) in python