# What is a SimpleShot and What Does This Application Do?
SimpleShot is a nearest neighbor based few-shot learner with a simple
-tranformation function.
+transformation function.
The application takes number of parameters and do the fewshot learning, inferencing
Our backbone is trained with 60 classes extracted from cifar100 dataset for 90 epochs.
## Task
-Sample task is a 1/5/10/20-shot example of `tractor`, `turtle`, `squirrel`, `willow_tree`, `sunflowe`, extracted randomly from 40 classes.
+Sample task is a 1/5/10/20-shot example of `tractor`, `turtle`, `squirrel`, `willow_tree`, `sunflower`, extracted randomly from 40 classes.
Those classes **are not exposed** to the model during training.
-For brevirty, test data set is shrinked 15 images from each class (75 total)
+For brevity, test data set is shrunk 15 images from each class (75 total)