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Denny Britz

Personal blog · wildml.comaiprogramming

Denny Britz writes Denny's Blog, a personal blog at wildml.com about ai and programming. Since 2015, 21 different Hacker News readers have linked it 57 times, most often “Implementing a Neural Network from Scratch – An Introduction”. It is still writing: the last post was on 2026-02-22, and you can follow it by feed.

Visit the blog
57mentions?
21HN people?
2015–2018first – last linked?
Links on Hacker News per year · peak 21 in 2016

Too few sampled comments (13) to say how often HN recommends it.?

Why HN links it

HN readers link Denny Britz's wildml.com for practical neural network and deep learning tutorials, including a from-scratch neural network series, NLP writing and a deep learning glossary.

Summarised by Claude from a sample of 13 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Denny's Blog

Most-linked posts?

  1. Implementing a Neural Network from Scratch – An Introduction
    5 people · 7 mentions · first linked 2015-09-04
  2. Deep Learning for Chatbots, Part 1 – Introduction
    4 people · 5 mentions · first linked 2016-04-07
  3. Learning to Trade with Reinforcement Learning
    3 people · 4 mentions · first linked 2018-02-11
  4. Deep Learning Glossary
    3 people · 4 mentions · first linked 2016-01-24
  5. Implementing a CNN for Text Classification in Tensorflow
    3 people · 3 mentions · first linked 2015-12-11
  6. Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN in Python
    2 people · 3 mentions · first linked 2015-09-30
  7. /
    2 people · 3 mentions · first linked 2015-09-25
  8. Deep Learning newsletter with hand-curated stories, code and research papers
    2 people · 3 mentions · first linked 2016-01-14
  9. AI and Deep Learning in 2017 – A Year in Review
    2 people · 3 mentions · first linked 2017-12-31
  10. RNN Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients
    2 people · 3 mentions · first linked 2015-10-08

What Hacker News says?

  1. It might look something like attention detailed in Show, Attend, Tell: http://arxiv.org/abs/1502.03044 Which attempts to visualize machine areas of attention that look like: http://www.wildml.com/wp-content/uploads/2015/12/Screen-Shot...

    Comment linking /wp-content/uploads/2015/12/Screen-Shot-2015-12-30-at-1.42.58-PM-1024x762.png

    on “AlphaGo beats Lee Sedol again in match 2 of 5”
  2. Submitted Learning Reinforcement Learning, with Code, Exercises, and Solutions as a story · 305 points

    HN discussion
  3. innerzeal · 2017-03-14Recommends
    On the new age tech, these may help: https://hadoopweekly.com/ http://www.wildml.com/newsletter/ https://thomaswdinsmore.com/ http://www.dbms2.com/

    Comment linking /newsletter/

    on “Ask HN: What are some good technology blogs to follow?”
  4. Submitted AI and Deep Learning in 2017 – A Year in Review as a story · 188 points

    HN discussion
  5. I have a pile of links for getting started with DL in my comment history you can use: https://news.ycombinator.com/item?id=10676455 What really helped advance my understanding from zero to knowledgeable novice was rewriting some existing code line by line (using expanded variable names and comments), and thinking about each line and what it does as you go. It's the software development equivalent of Hunter S. Thomps…

    Comment linking /2015/09/implementing-a-neural-network-from-scratch/

    on “Facebook AI Research Team Open Source DeepMask and SharpMask”
  6. Submitted RNNs in TensorFlow: Practical Guide and Undocumented Features as a story · 178 points

    HN discussion
  7. Probably because the author followed this blog: http://www.wildml.com/2015/12/implementing-a-cnn-for-text-cl... That blog used a 2d cnn because tensorflow didn't have a 1d version at the time of writing, so he just created a dummy 2nd dimension of length 1 and called it a day.

    Comment linking /2015/12/implementing-a-cnn-for-text-classification-in-tensorflow/

    on “What Kagglers Are Using for Text Classification”
  8. Submitted Hype or Not? Some Perspective on OpenAI’s DotA 2 Bot as a story · 170 points

    HN discussion
  9. etiam · 2016-04-11Recommends
    You may wish to coordinate a bit with this?: http://www.wildml.com/deep-learning-glossary/ I came across that glossary a few days ago when looking to solve an RNN problem with a deadline. You may be pleased to know I think I may have solved it by switching to Keras, and this post actually helped unsticking me from a smaller problem too. Thanks, and congratulations on version 1.0!

    Comment linking /deep-learning-glossary/

    on “Keras 1.0 – Python deep learning framework”
  10. Submitted Recurrent Neural Networks Tutorial, Part 1: Introduction as a story · 121 points

    HN discussion
  11. Shameless plug, but I am curating a Deep Learning / Artificial Intelligence newsletter: http://www.wildml.com/newsletter/

    Comment linking /newsletter/

    on “Ask HN: Best curated newsletters?”
  12. Submitted Implementing a Neural Network from Scratch – An Introduction as a story · 117 points

    HN discussion
  13. digisth · 2015-11-16Recommends
    If you want to know more about RNNs in general, I can't recommend watching the videos/reading the notes from this course enough: http://cs224d.stanford.edu/syllabus.html If you want something more basic to get your head around NNs, I recommend Denny Britz's "Neural Networks from Scratch": http://www.wildml.com/2015/09/implementing-a-neural-network-... I created a gist with a heavily commented version of his code: ht…

    Comment linking /2015/09/implementing-a-neural-network-from-scratch/

    on “Anyone Can Learn to Code an LSTM-RNN (Part 1: RNN)”
  14. Submitted Deep Learning Glossary as a story · 106 points

    HN discussion
  15. There are two ways to consider this question, hacking as in "Mr. Robot" or hacking as in writing code for the joy of creation and discovery. Given the reference to 'writing software for corporations' I'll consider it the latter. It is profoundly important for engineers to periodically rekindle their sense of wonder if they wish to stay relevant and it sounds like what you are asking, if so that is super awesome. Unf…

    Comment linking /2015/09/implementing-a-neural-network-from-scratch/

    on “Tell HN: WarGames (1983) is mind-blowing”
  16. Submitted Attention and Memory in Deep Learning and NLP as a story · 97 points

    HN discussion
  17. Encoder-Decoder models are a very common technique in sequence-to-sequence models for deep learning. These models have had very big wins lately in NLP tasks such as translation, POS tagging, dialogue generation, etc. The Tensorflow documentation has an okay writeup about seq2seq models: https://www.tensorflow.org/tutorials/seq2seq The author of the library also has a small blurb about it on his blog: http://www.wild…

    Comment linking /deep-learning-glossary/

    on “Show HN: A general-purpose encoder-decoder framework for Tensorflow”
  18. Submitted Implementing a CNN for Text Classification in Tensorflow as a story · 92 points

    HN discussion
  19. i336_ · 2016-01-01Recommends
    Agh, I remember there was this little thing that let you interactively play with neuron width and add and remove nodes, but I can't find it. Here's what else is in my bookmarks, aka what I've seen go past on here over the past few months that seemed approachably interesting: http://www.wildml.com/2015/09/implementing-a-neural-network-... - a getting-started guide you can follow along with in IPython https://codeword…

    Comment linking /2015/09/implementing-a-neural-network-from-scratch/

    on “Ask HN: What one thing do you want to learn or achieve in 2016?”
  20. Submitted Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN in Python as a story · 12 points

    HN discussion
  21. You're right that JS is pretty ill-suited for implementing production-level Deep Learning architectures that operate on a lot of data, I think it's still well suited for explaining the concepts in a clear way. A lot of the models have intuitive (and visual) interpretations, something that can be nicely visualized with JS. As for Karpathy's implementation, you're right, he chose JS for that reason. His library is mea…

    Comment linking /

    on “Ask HN: Want to contribute in Open source implementation of research papers”
  22. Submitted Deep Learning for Chatbots, Part 1 – Introduction as a story · 9 points

    HN discussion
  23. digisth · 2015-12-04Recommends
    The below resources are the ones I used when I started to learn about DL/NNs. Some of them are focused specifically on certain applications, but I found them helpful, too. Basic NNs: http://www.wildml.com/2015/09/implementing-a-neural-network-... (a whole series, all worth reading) https://gist.github.com/sthware/c47824c116e6a61a56d9 (my code based on the above) http://iamtrask.github.io/2015/07/27/python-network-pa…

    Comment linking /2015/09/implementing-a-neural-network-from-scratch/

    on “Ask HN: Where to begin learning about Neural Nets”
  24. Submitted Recurrent Neural Network Tutorial, Part 4 – Implementing a GRU/LSTM in Python as a story · 9 points

    HN discussion
  25. billconan · 2017-12-20Recommends
    I'd suggest searching for and reading blog posts of people who are studying deep learning. Academic papers are very pretentious, they are the tools for scholars to declare victories. They are not the best materials to understand. http://www.wildml.com/ https://medium.com/mlreview https://distill.pub/

    Comment linking /

    on “Ask HN: How to read deep learning/machine learning papers?”
  26. Submitted Learning to Trade with Reinforcement Learning as a story · 7 points

    HN discussion
  27. this focuses on NLP http://www.wildml.com this is also great http://colah.github.io

    Comment linking /

    on “Ask: Your Favorite Machine Learning Blog?”
  28. Submitted Deep Learning Glossary as a story · 7 points

    HN discussion
  29. http://distill.pub http://www.wildml.com/

    Comment linking /

    on “Ask HN: What are the best informed AI blogs/ bloggers?”
  30. Submitted RNN Tutorial, Part 3 – Backpropagation Through Time and Vanishing Gradients as a story · 7 points

    HN discussion

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