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R2RT

Personal blog · r2rt.comaiprogramming

R2RT is a personal blog at r2rt.com about ai and programming. Since 2016, 8 different Hacker News readers have linked it 8 times, most often “Intuition Behind LSTM, GRU, and NTM”. The last post was in 2018, but the archive is still widely read.

Visit the blog
8mentions?
8HN people?
2016–2018first – last linked?
Links on Hacker News per year · peak 5 in 2016

Too few sampled comments (4) to say how often HN recommends it.?

Why HN links it

HN readers link R2RT's TensorFlow RNN tutorials as practical guides, including skeleton code for a character-level generative model and an explanation that helps build intuition for LSTMs.

Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Intuition Behind LSTM, GRU, and NTM
    4 people · 4 mentions · first linked 2016-08-04
  2. /recurrent-neural-networks-in-tensorflow-i.html
    2 people · 2 mentions · first linked 2016-08-22

What Hacker News says?

  1. jkbschwarz · 2017-02-07Recommends
    Yes happy to share once the evaluation period is over, but sadly I dont think Im allowed to share beforehand. Will have to check when but I expect it should be in approximately 2 weeks. In the meantime, you might want to check out this excellent blog post http://r2rt.com/recurrent-neural-networks-in-tensorflow-ii.h... . This will provide you with skeleton code to implement a character level generative model (similar…

    Comment linking /recurrent-neural-networks-in-tensorflow-ii.html

    on “Oxford Deep NLP – An advanced course on natural language processing”
  2. Submitted Deconstruction with Discrete Embeddings as a story · 21 points

    HN discussion
  3. andrew3726 · 2017-05-07Recommends
    You might like this article[0]. It definitely helped me develop some intuition for LSTMs. 0: http://r2rt.com/written-memories-understanding-deriving-and-...

    Comment linking /written-memories-understanding-deriving-and-extending-the-lstm.html

    on “Deep Learning’s Impact on Image Processing, Mathematics, and Humanity”
  4. Submitted Written Memories: Understanding Deriving and Extending the LSTM as a story · 3 points

    HN discussion
  5. Among the ones I saw this one is the best http://r2rt.com/recurrent-neural-networks-in-tensorflow-i.ht... The first thing I tried to do in Tensorflow was RNN and I had quite a hard time with other tutorials.

    Comment linking /recurrent-neural-networks-in-tensorflow-i.html

    on “RNNs in TensorFlow: Practical Guide and Undocumented Features”
  6. Submitted Intuition Behind LSTM, GRU, and NTM as a story · 3 points

    HN discussion
  7. Maybe http://r2rt.com/recurrent-neural-networks-in-tensorflow-i.ht... ?

    Comment linking /recurrent-neural-networks-in-tensorflow-i.html

    on “RNNs in TensorFlow: Practical Guide and Undocumented Features”
  8. Submitted Written Memories: Understanding, Deriving and Extending the LSTM as a story · 2 points

    HN discussion

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