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Rishabh Shukla

Personal blog · rishy.github.ioaiprogramming

Rishabh Shukla's personal blog at rishy.github.io covers ai and programming. Since 2015, 4 different Hacker News readers have linked it 5 times, most often “How to Train Your Deep Neural Network”. The last post was in 2017, but the archive is still widely read.

Visit the blog
5mentions?
4HN people?
2015–2019first – last linked?
Links on Hacker News per year · peak 2 in 2017

Too few sampled comments (2) to say how often HN recommends it.?

Why HN links it

Comments link the blog as a reference on training deep neural networks, and as a self-promotion in a job-hiring thread. Neither comment judges the writing.

Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

About Deep Learning and Natural Language Processing

Most-linked posts?

  1. How to Train Your Deep Neural Network
    3 people · 3 mentions · first linked 2017-01-05

What Hacker News says?

  1. Hey, I am looking for a Junior Data Scientist Position at Kensho. Here's my blog - http://rishy.github.io/ and link to my github profile - https://github.com/rishy . You can further contact me at rishy.s13@gmail.com

    Comment linking /

    on “Ask HN: Who is hiring? (June 2015)”
  2. Submitted Show HN: Deep learning – Dropout with Theano as a story · 5 points

    HN discussion
  3. Both are tricky subject and lot of cooking-like thinking (there are popular recipes, general rules, but in all practical cases to master it there is a lot of non-transferable experience and knowledge). Some pointers: * http://rishy.github.io/ml/2017/01/05/how-to-train-your-dnn/ * http://www.alexirpan.com/2017/06/27/hyperparam-spectral.html At deepsense.io we are developing Neptune to facilitate that process (compare…

    Comment linking /ml/2017/01/05/how-to-train-your-dnn/

    on “Hacker's guide to Neural Networks (2012)”
  4. Submitted How to Train Your Deep Neural Network as a story · 3 points

    HN discussion
  5. Submitted How to Train Your Deep Neural Network as a story · 2 points

    HN discussion

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