报告认为，在全球范围来看TensorFlow和PyTorch仍是深度学习框架的主流“玩家”，但与此同时，也认可了百度飞桨自2016年以来的成绩。

PyTorch公开2024 H2发展路线图，增透明度。 【导读】最近，PyTorch团队首次公布了开发路线图，由内部技术文档直接修改而来，披露了这个经典开源库下 ...

This PyTorch vs TensorFlow guide will provide more insight into both but each offers a powerful platform for designing and deploying machine learning models.

就在7月10日，PyTorch的工程团队首次公开发布了他们的路线图文档，阐述2024年下半年的发展方向。 Meta共同创始人、领导PyTorch团队的Soumith Chintala在推 ...

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

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.

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

PyTorch introduced "Torchscript" and a JIT compiler, whereas TensorFlow announced that it would be moving to an "eager mode" of execution starting from version 2.0.

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