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Re:Neural Networks and Deep Learning by guiambros on Friday June 20, 2014 @11:36AM (#7921146)
I've found 8 so far [1][2][3]. Some are exact duplicates, some point to / while others to /index.html, /about.html, etc.

Note: most submissions were done by real and reputable users, so I'm not implying any foul play here. Quite the opposite; I backed the original project on Indie Gogo, and am pleased with the progress so far. Would strongly recommend anyone interested in the topic to donate to Michael (BTC address below).

My gripe is with HN duplicity detector, that let people submit equal or very similar links, over and over again.

[1] Book: (some are exact duplicates)

https://news.ycombinator.com/item?id=7920183

https://news.ycombinator.com/item?id=6796703

https://news.ycombinator.com/item?id=7555191

https://news.ycombinator.com/item?id=7143192

https://news.ycombinator.com/item?id=6801036

[2] Indie Gogo:

https://news.ycombinator.com/item?id=6795285

https://news.ycombinator.com/item?id=6794584

[3] Original Blog post:

https://news.ycombinator.com/item?id=6796917

Re:Neural Networks and Deep Learning by resu_nimda on Friday June 20, 2014 @12:19PM (#7921354)
I believe the dupe detector is left purposely "leaky."

I don't understand what's so wrong with dupes, especially the amount of effort you've put into this one. I don't see every headline on HN, neither do you, nor does anyone (I hope). What is your methodology for trawling through the archives to find interesting things you might have missed? Some people like having a chance for them to pop up again, which usually indicates that they're high quality. And inevitably someone will show up in the comments and link all the old discussions and then people can review those and also start a new discussion! And if you've already seen it, you can skip it! What's the issue?

Obviously, a massive flood of dupes is not desirable, so there is balance to be found, but I think they hit it pretty well. They also have to factor in the wide range of reading habits.

Re:Neural Networks and Deep Learning by dang on Friday June 20, 2014 @01:07PM (#7921605)
The policy, which has been stable for a long time and which we intend to put in the FAQ, is that reposts are ok if an item hasn't had significant attention in the last year.

In this case, both available chapters of the book have had significant attention [1,2], so I think a post of its home page has to count as a dupe. If and when Chapter 3 appears, however, that will make a nice non-dupey post.

(Good luck with the book, Michael!)

1. https://news.ycombinator.com/item?id=6794308

2. https://news.ycombinator.com/item?id=7588158

Re:Neural Networks and Deep Learning by michael_nielsen on Friday June 20, 2014 @01:17PM (#7921650)
Thanks for the clarification. Yes, it would be great to have that policy in the FAQ.