![]() ![]() I would not wish TF 1.x on my worst enemy. ![]() When we say TF we should really say tf.keras.Could use pytorch to develop then convert with ONNX to tensorflow for deployment.Apparently JAX is actually where the cool kids are … this is feeling like highschool again, always the wrong crowd.TL DR: People were so frustrated with TF 1.x that they switched to PT and never came back. For those of you in industry, do you see tensorflow used more or Pytorch in a production type implementation? My work uses tensorflow and I have heard it is used more outside of academia - mixed maybe at this point?ĮDIT2: I read through all the comments and here are my summaries and useful information to anyone new seeing this post or having the same question: I honestly did not expect to get this much information and I will definitely be taking a harder look at Pytorch and maybe trying it in my next project. ![]() Should I be switching? Learning both? I'm not sure this post will answer my question but I would like to hear your honest opinion why you use one over the other or when you choose to use one instead of the other.ĮDIT: thank you all for your responses. Should I be jumping ship? What is the actual difference and why is one favoured over the other? I have only used tensorflow and although I have been using it for a number of years now, still am learning. It doesn't make sense to me and I see it as being incredibly powerful and widely used in research and industry. I have seen so many posts on social media about how great pytorch is and, in one latest tweet, 'boomers' use tensorflow. Metacademy is a great resource which compiles lesson plans on popular machine learning topics.įor Beginner questions please try /r/LearnMachineLearning, /r/MLQuestions or įor career related questions, visit /r/cscareerquestions/ ![]() Please have a look at our FAQ and Link-Collection Rules For Posts + Research + Discussion + Project + News on Twitter Chat with us on Slack Beginners: ![]()
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