> almost trivially
If not AWS, how could I get started elsewhere? Every tutorial I've looked at deals with a CVS data file, not an image.
Could you point me to a resource that has an example of how to train AI with image documents?
You would just use pixel values as inputs, see https://www.tensorflow.org/get_started/mnist/beginners
You can make it more performant by downsizing the documents, but obviously this is incredibly GPU-intensive to train. I second the suggestions to just use OCR.
https://cloud.google.com/products/machine-learning/
Look at the text API which parses text from an image and gives you it's pixel location.
Is that possible with AWS AI?
> Finally, we provide AI engines, a collection of open-source, deep learning frameworks for academics and data scientists who want to build cutting edge, sophisticated intelligent systems, pre-installed configured on a convenient machine image.
Which is to say anything that TensorFlow can do, AWS AI can do. So yes. But is it possible without implementing it yourself? It looks like Amazon Rekognition may be able to do what you're looking for, but I'm not certain. You'll have to research that one.