PyTorch recreates the graph on the fly at each iteration step. In contrast, TensorFlow by default creates a single data flow graph, optimizes the graph code for performance, and then trains the model.

If you actually need a deep learning model, PyTorch and TensorFlow are both good choices ...

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

TensorFlow, PyTorch, Keras, Caffe, Microsoft Cognitive Toolkit, Theano and Apache MXNet are the seven most popular frameworks for developing AI applications.

PassiveLogic's Differentiable Swift AI Compiler Sets Energy Efficiency Record PassiveLogic’s Differentiable Swift is 992x more efficient than TensorFlow and 4,948x more efficient than PyTorch.

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...

Dependence on US frameworks for deep learning seen as significant gap in China’s AI ecosystem, potentially hampering efforts to close the AI tech gap with the US by 2030.