gradio_article.md

## Training
Fast.ai was used to train this classifier with a ResNet50 vision learner, without much customization.
The final fine tuning of the training loop resulted in the following losses.
epoch	train_loss	valid_loss	error_rate	time
0	     0.494005	0.078781    	0.017094	00:05
epoch	train_loss	valid_loss	error_rate	time
0	      0.089555	0.031788	0.025641    	00:04
1	      0.045144	0.097199	0.017094    	00:03
2	      0.033626	0.106634	0.017094    	00:03

## Examples

The example images provided in the demo are not from the dataset. They were quickly sourced via a couple of DuckDuckGo searches.