The converter converts TensorFlow models into an efficient form for use by the interpreter, and can introduce optimizations to improve binary size and performance.

The converter converts TensorFlow models into an efficient form for use by the interpreter, and can introduce optimizations to improve binary size and performance.

When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Is PyTorch better than TensorFlow for general use cases? This question was originally answered on Quora by Roman Trusov.

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...