![]() In context to this 50 dollar and 100 dollar classification model, the model is going to classify or predict whether an image is that of a 50 or a 100 US dollar bill, just like we humans can tell the difference or identify objects using our vision. ![]() Having said that, the code and instructions I am going to provide might work for similar problems, however, the same code and technique is not a one fit for all solution. In this post, I am going to share how I built my own US Bank note classifier and by following the instructions you can perhaps, build an even better one or give life to your unique ideas. This post is not about whether an app or an idea is original, it is about demonstrating how you can create useful models and deploy it on the web using fastai deep learning library and voila. Well, that brings us to the topic of artificial intelligence and deep learning. You have a 50 dollar or 100 dollar bill, something about this bill is raising concern, you would like to check if the bill is a counterfeit or not, would it not be convenient if you had an application where you could upload a picture of the bill and get an instant result? What if you could build one for yourself? You could argue why would anyone build such an app when there is plenty of other options in the market already.
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