Referring to https://news.ycombinator.com/item?id=16282819 …
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What ML stack do tech startups use, you ask? Let's look at the Hacker News jobs board. Out of 964 job postings: - 12 posts mention TensorFlow - 7 Keras - 5 Scikit-Learn - 1 Caffe - 0 PyTorch, MXNet Also note that: - 89 posts mention ML (9%) - 34 AI - 18 deep learning
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Why no PyTorch?
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Maybe because this "We are in an early-release Beta. Expect some adventures." ;)
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genuinely curious who uses tensor flow without keras. is that for creating things that are not in keras?
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In my experience, most job ads aren't that precise. Sometimes when they ask for "Deep learning, ai, word2vec", you automatically know their competence background in those areas. I'm certain most of them won't bother to differentiate between TF and Keras.
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Maybe because most folks don’t really care which model a data scientist uses, as long as she is properly validating her models and getting good performance?
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Stats I collected from German freelance sites over ~2 years: 29 TensorFlow, 15 Caffe, 7 Keras, 6 Torch/PyTorch, 6 Theano, 1 MXNet, 1 scikit-learn
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