Optical character recognition (OCR) drives the conversion of typed, handwritten, or printed symbols into machine-encoded text. However, the OCR process brings the need to eliminate possible errors, while extracting only valuable data from ever-growing amount of it. This blog post highlights how employing the one-shot attention mechanism for token extraction in Keras using TensorFlow as a back end can help out.

Optical Character Recognition Using One-Shot Learning, RNN, and TensorFlow - Blog on All Things…_Optical character recognition (OCR) drives the conversion of typed, handwritten, or printed symbols into machine…_blog.altoros.com