Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

Both PyTorch and TensorFlow support deep learning and transfer ... The follow-up questions to help dig out a better answer than “It depends” start with “What do you want to accomplish ...

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

And almost all of these deep learning applications are written in one of three frameworks: TensorFlow, PyTorch, and JAX. Which of these deep learning frameworks should you use? In this article ...

This means that if you’re planning to use large models, you’d better stay away from TensorFlow or invest heavily in compute resources to train your own model. PyTorch has a reputation for ...

While PyTorch excels in research, its deployment tools are less mature than TensorFlow’s, which is often preferred for enterprise AI applications. Overall, it is a powerful and evolving ...

While TensorFlow has been around slightly longer (since November 2015), PyTorch continues to see rapid uptake in the data science and developer communities. Facebook recently revealed that in 2019 ...

There’s a lot more technical detail in the blog post up today. PyTorch goes up against the open-source TensorFlow framework developed by Google Inc., MXNet championed by Amazon Web Services Inc ...