The vast majority of Tensorflow users are students from the Udacity course. So the "rising dominance" of Tensorflow is actually disputable. 95% of those users have little experience, let alone the opportunity of deploying to production.
As a technology, Tensorflow is not better than other frameworks in many ways. It has a nice website and a few tutorials, but it doesn't do well, for example, in large production environments.
The field of DL libraries is actually wide and changing quickly. TF, CNTK, DSSTNE and other libs all came out in the last 10 months or so.
So Paddle has a chance, especially in China, where Tensorflow is handicapped because people can't use the Google Cloud on which it is optimized.
vonnik: I agree Paddle has a chance in China. That's what I wrote above :-)
As to TensorFlow's dominance, maybe you're right, I could be wrong. That's why I created the poll, to find out which framework the HN community actually wants to use: https://news.ycombinator.com/item?id=12391744
As a technology, Tensorflow is not better than other frameworks in many ways. It has a nice website and a few tutorials, but it doesn't do well, for example, in large production environments.
The field of DL libraries is actually wide and changing quickly. TF, CNTK, DSSTNE and other libs all came out in the last 10 months or so.
So Paddle has a chance, especially in China, where Tensorflow is handicapped because people can't use the Google Cloud on which it is optimized.