This project looks at how Convolutional Neural Networks (CNNs) can be used to effectively identify a series of digits from patent images that are obtained from the United States Patent Office (USPTO) Database.
I am attempting to predict numbers, letters, and drawings provided by an image of patent drawings from the USPTO Database.
I used Tensorflow and Python to build this model. Tensorboard is also utilized.
A more detailed report has been written as well.