Build a handwritten digit recognizer in Watson Studio and PyTorch
Use a trained PyTorch model to predict handwritten numbers from images
About this webcast
Follow along with this code pattern as we take you through the steps to create a simple handwritten digit recognizer in Watson Studio and PyTorch. You’ll be able to fork the code and build this application yourself.
Recognizing handwritten numbers is a piece of cake for humans, but it’s a non-trivial task for machines. Currently, however, with the advancement of machine learning, people have made machines more capable of performing this task. We now have mobile banking apps that can scan checks in seconds, and accounting software that can extract dollar amounts from thousands of contracts in minutes.