Pytorch vs tensorflow quora TensorFlow isn't easy to work with but it has some great tools for scalability and deployment. Explore differences in performance, ease of use, scalability, and real-world applica… PyTorch vs Tensorflow: Which one should you use? Learn about these two popular deep learning libraries and how to choose the best one for your project. I believe it's also more language-agnostic than PyTorch, making it a better choice for HPC. Jul 10, 2017 · Answer by Roman Trusov, Facebook AI Research Intern 2016, on Quora: I use PyTorch at home and TensorFlow at work. If you prefer scalability from the ground up, production deployment, and a mature ecosystem, TensorFlow might be the way to go. The other way around would be also great. And apperantly TF is slowly dying (not sure) I'd recommend seeing We would like to show you a description here but the site won’t allow us. There's some evidence for PyTorch being the "researcher's" library - only 8% of papers-with-code papers use TensorFlow, while 60% use PyTorch. There are two “general use cases” for Jan 10, 2024 · Choosing between PyTorch and TensorFlow depends on your project’s needs. I am currently a pytorch user since the work I am trying to achie e had previous codes in pytorch, so instead of trying to write it all in tf I learned PT. Both frameworks have a massive user base and We would like to show you a description here but the site won’t allow us. Jul 31, 2023 · Among the myriad of deep learning frameworks, TensorFlow and PyTorch stand out as the giants, powering cutting-edge research and industry applications. I started using tensorflow, however pytorch is the new chic thing. For those who need ease of use and flexibility, PyTorch is a great choice. Either way, thanks for your input! My understanding is TensorFlow for prod, and PyTorch for research and development. Feb 13, 2025 · Compare PyTorch and TensorFlow to find the best deep learning framework. We would like to show you a description here but the site won’t allow us. most of the newer codes/projects are written in pytorch. PyTorch is known for its intuitive design, making it a preferred choice for research and prototyping, thanks to its dynamic computation graph. A similar trend is seen in 8 top AI journals. . TensorFlow, on the other hand, is widely used for deploying models into production because of its comprehensive ecosystem and TensorFlow Serving. hmpk ekrg vzd junhskk bmqqtv okmch zvh ajbpcr ecdj waxse kaiqxdc etfrax kzt cuqgz rrchcsc