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It appears that hacker news users upvote anything with machine learning or tensorflow in it. This is merely a fifo queue implementation, which is not particular

by feelix 9y ago

It appears that hacker news users upvote anything with machine learning or tensorflow in it. This is merely a fifo queue implementation, which is not particularly significant any way. Why it was submitted, much less upvoted, is nonsensical to me.

aub3bhat 9y ago
Maybe upvoted to be saved for later reading. This seems like a new work released by TF team on best practices along woth benchmarks for comparisons. But I agree with your assesment, I have noticed several barely interesting blogposts/arxiv papers upvoted.
mylittlethrow 9y ago
One (not so charitable, I have to admit) interpretation is that there is a sizable group of people interested in ML that doesn't have the more traditional computer science background, and thus find this kind of text far more appealing, xkcd's ten thousand and everything [0]. A more extreme version of this is situation is of the medical researcher who "reinvented" on his own the trapezoidal rule for numerical integration[1]. [0]: https://xkcd.com/1053/ https://xkcd.com/1053/ [1]: https://fliptomato.wordpress.com/2007/03/19/medical-researcher-discovers-integration-gets-75-citations/ https://fliptomato.wordpress.com/2007/03/19/medical-research...
- aub3bhat 9y ago
  No, yesterday TensorFlow team released benchmarks [1], as part of these benchmarks they simultaneously published tips for ensuring high performance [2] which they used in benchmarks. The reason for publishing the second link is that due to copying memory between python and C++ (when using feed_dict) TensorFlow can appear to be slower than competing frameworks, hence they felt a need to point out methods used to ensure high performance by reducing I/O latency. Looking at [2] without having context of [1] can be confusing. But no one is trying to pass this off as "innovation". [1] https://www.tensorflow.org/performance/benchmarks https://www.tensorflow.org/performance/benchmarks [2] https://www.tensorflow.org/performance/performance_models https://www.tensorflow.org/performance/performance_models
  - mylittlethrow 9y ago
    Oh, sorry if I was unclear, but I didn't intend to say that the TensorFlow team is trying to pass this off as innovation. I was thinking about why some readers might find this interesting and upvote even without the context.
sirfz 9y ago
Actually this provides a solution for a very serious problem which is usually the main bottleneck in machine learning experimentation (in terms of speed). For me at least, this was a great read and I'm pretty sure I'll be trying this out soon.

by feelix 9y ago

aub3bhat 9y ago

Maybe upvoted to be saved for later reading. This seems like a new work released by TF team on best practices along woth benchmarks for comparisons. But I agree with your assesment, I have noticed several barely interesting blogposts/arxiv papers upvoted.

mylittlethrow 9y ago

One (not so charitable, I have to admit) interpretation is that there is a sizable group of people interested in ML that doesn't have the more traditional computer science background, and thus find this kind of text far more appealing, xkcd's ten thousand and everything [0]. A more extreme version of this is situation is of the medical researcher who "reinvented" on his own the trapezoidal rule for numerical integration[1]. [0]: https://xkcd.com/1053/ https://xkcd.com/1053/ [1]: https://fliptomato.wordpress.com/2007/03/19/medical-researcher-discovers-integration-gets-75-citations/ https://fliptomato.wordpress.com/2007/03/19/medical-research...

aub3bhat 9y ago
No, yesterday TensorFlow team released benchmarks [1], as part of these benchmarks they simultaneously published tips for ensuring high performance [2] which they used in benchmarks. The reason for publishing the second link is that due to copying memory between python and C++ (when using feed_dict) TensorFlow can appear to be slower than competing frameworks, hence they felt a need to point out methods used to ensure high performance by reducing I/O latency. Looking at [2] without having context of [1] can be confusing. But no one is trying to pass this off as "innovation". [1] https://www.tensorflow.org/performance/benchmarks https://www.tensorflow.org/performance/benchmarks [2] https://www.tensorflow.org/performance/performance_models https://www.tensorflow.org/performance/performance_models
- mylittlethrow 9y ago
  Oh, sorry if I was unclear, but I didn't intend to say that the TensorFlow team is trying to pass this off as innovation. I was thinking about why some readers might find this interesting and upvote even without the context.

sirfz 9y ago

Actually this provides a solution for a very serious problem which is usually the main bottleneck in machine learning experimentation (in terms of speed). For me at least, this was a great read and I'm pretty sure I'll be trying this out soon.