TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms.
Deep learning frameworks have often focused on either usability or speed, but not both.
We describe efforts to adapt the Tesseract open source OCR engine for multiple scripts and languages.
The framework is a BSD-licensed C++ library with Python and MATLAB bindings for training and deploying general-purpose convolutional neural networks and other deep models efficiently on commodity architectures.
Recent developments in natural language representations have been accompanied by large and expensive models that leverage vast amounts of general-domain text through self-supervised pre-training.