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by dennybritz on 2019-01-26 (UTC).

This has been my experience with the latest TF versions too. A common mistake of ignoring complexity cost in engineering and optimizing for the wrong things (the “gmail redesign effect”). Wish I could switch to PyTorch but some production use cases are not covered by it yet.. pic.twitter.com/s7SKX73kuc

— Denny Britz (@dennybritz) January 26, 2019
tensorflowpytorchthoughtmisc
by dennybritz on 2019-01-26 (UTC).

A reddit thread: https://t.co/wjWJFiV5Li

— Denny Britz (@dennybritz) January 26, 2019
misctensorflow
by adnothing on 2019-01-26 (UTC).

After an analysis of most DL frameworks followed by reimplementing (and painfully reproducing results of) YOLOv2 in both TensorFlow and @PyTorch in 2017, I made the decision to switch my team to PyTorch. We never looked back: UX and velocity is just 👍 #PyTorchFTW https://t.co/lpcaxBsSNQ

— Adrien Gaidon (@adnothing) January 26, 2019
miscthought

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