Re:The State of Machine Learning Frameworks
by rtkaratekid on Wednesday October 16, 2019 @01:00PM
(#21272642)
I did say I had a fantastic model with Tensorflow. I gave up after a while because I didn't have time to hack on that stuff. I wouldn't mind learning to and trying it out, but the nature of the small company meant I needed to find a solution sooner. Now I have comparable results with Pytorch and it's easier to work with. That's a win/win in my book.
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Re:The State of Machine Learning Frameworks
by dchichkov on Thursday October 17, 2019 @10:05PM
(#21288044)
Your original comment stated that you've explicitly had difficulty in installation: "So I get building that environment and install the latest CUDA, cuDNN, nvidia driver and use tensorflow 2.0 aaaaaand it wouldn't work. I actually spent a long time hacking on it till on a forum I read that it was just a bug that hadn't been fixed yet.".
I don't want to say anything encouraging or discouraging about TensorFlow. Just that it doesn't make much sence to make a judgement based on installation experience. Installing TensorFlow or PyTorch is a very small percentage of man-hours, compared to releasing a DNN to production.