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Record · corpus.blog/posts/01a087ac-dccd-7076-9336-9f1c7136ab07

Linklog | Understanding LSTM Networks

Christopher Olah · published 30 January 2025

A record is what was published and who pointed at it. The text of the post is not held here: read it at the source, or at its Wayback capture.

Read the post at colah.github.io Wayback capture
28blogs citing
First cited
1 Nov 2016
Most recent
28 Feb 2026
Rank this month
not ranked
Links from this post
27
Words captured
2,337

Cited by

Blog
In the post
Date
rlplays.com
Deconstructing a 1-bit LSTM Read at the source ↗
28 Feb 2026
rlplays.com
Draw with an LSTM Read at the source ↗
11 Feb 2026
liamconnell.github.io
Deep Learning Reading List Read at the source ↗
23 Jan 2026
liamconnell.github.io
A tour through tensorflow with financial data Read at the source ↗
23 Jan 2026
fvictorio.github.io
An underqualified reading list about the transformer architecture Read at the source ↗
30 Oct 2025
johnlarkin1.github.io
Teaching a Computer How to Write Read at the source ↗
1 Oct 2025
gregorygundersen.com
A History of Large Language Models Read at the source ↗
30 Sept 2025
ramsdenj.com
Analyzing the ADFA-LD Dataset Read at the source ↗
3 Dec 2024
tensorlabbet.com
Summary of Ilya Sutskever's AI Reading List Read at the source ↗
24 Sept 2024
mfaulk.github.io
Ilya’s AI papers: Key Takeaways Read at the source ↗
19 Jun 2024
swe-to-mle.pages.dev
RNN, LSTM, GRU, and Saliency Map Read at the source ↗
13 Jun 2024
Engineering at Meta
Optimizing RTC bandwidth estimation with machine learning Read at the source ↗
20 Mar 2024
Google Research
Using AI to expand global access to reliable flood forecasts Read at the source ↗
20 Mar 2024
teddykoker.com
NLP from Scratch: Annotated Attention Read at the source ↗
25 Feb 2020
kvfrans.com
What is DRAW (Deep Recurrent Attentive Writer)? Read at the source ↗
27 Sept 2019
softologyblog.wordpress.com
Long Short-Term Memory Music Composer Read at the source ↗
21 Sept 2019
peterbloem.nl
Transformers from scratch Read at the source ↗
1 Sept 2019
Hello! I’m George (a.k.a. eigenfoo) | George Ho
Autoregressive Models in Deep Learning — A Brief Survey Read at the source ↗
9 Mar 2019
kvfrans.com
Simulating Twitch chat with a Recurrent Neural Network Read at the source ↗
9 Dec 2018
Sean's Blog
Natural Language Processing: Sentiment Analysis Read at the source ↗
13 Oct 2018
Mozilla Hacks
Streaming RNNs in TensorFlow Read at the source ↗
18 Sept 2018
augusteo.com
OpenAI Five - Study Notes Read at the source ↗
8 Jul 2018
hkhanna
Structuring Deep Learning Projects Read at the source ↗
30 Jun 2018
konukoii.com
Twitter Sentiment Analysis using combined LSTM-CNN Models Read at the source ↗
19 Feb 2018
vas3k.com
Machine Translation Read at the source ↗
7 Feb 2018
Sally Lait | Blogs
Starting out with neural networks Read at the source ↗
24 Nov 2017
ankitg.me
Two Novel Approaches for Unsupervised Machine Translation Read at the source ↗
5 Nov 2017
vivsha.ws
Do robots dream of electric pentameter? Read at the source ↗
10 Feb 2017
Murat Demirbas
Deep Learning With Dynamic Computation Graphs (ICLR 2017) Read at the source ↗
18 Jan 2017
Murat Demirbas
Deep Learning With Dynamic Computation Graphs (ICLR 2017) Read at the source ↗
18 Jan 2017
pinchofintelligence.com
Ineffective sorts: tensorflowsort Read at the source ↗
1 Nov 2016
thegustafson.com
A little experiment in evading AI detection Read at the source ↗
—

Links from this post

Link
Host
http://karpathy.github.io/2015/05/21/rnn-effectiveness/
karpathy.github.io
http://people.idsia.ch/~juergen/SeppHochreiter1991ThesisAdvisorSchmidhuber.pdf
people.idsia.ch
http://www-dsi.ing.unifi.it/~paolo/ps/tnn-94-gradient.pdf
www-dsi.ing.unifi.it
http://www.bioinf.jku.at/publications/older/2604.pdf
bioinf.jku.at
http://arxiv.org/pdf/1406.1078v3.pdf
arxiv.org
http://arxiv.org/pdf/1508.03790v2.pdf
arxiv.org
http://arxiv.org/pdf/1402.3511v1.pdf
arxiv.org
http://arxiv.org/pdf/1503.04069.pdf
arxiv.org
http://jmlr.org/proceedings/papers/v37/jozefowicz15.pdf
jmlr.org
http://arxiv.org/pdf/1502.03044v2.pdf
arxiv.org
http://arxiv.org/pdf/1507.01526v1.pdf
arxiv.org
http://arxiv.org/pdf/1502.04623.pdf
arxiv.org
http://arxiv.org/pdf/1506.02216v3.pdf
arxiv.org
http://arxiv.org/pdf/1411.7610v3.pdf
arxiv.org
http://research.google.com/pubs/OriolVinyals.html
research.google.com
http://research.google.com/pubs/GregCorrado.html
research.google.com
http://research.google.com/pubs/JonathonShlens.html
research.google.com
http://people.cs.umass.edu/~luke/
people.cs.umass.edu
http://www.cs.toronto.edu/~ilya/
cs.toronto.edu
https://www.linkedin.com/pub/dario-amodei/4/493/393
linkedin.com
http://cs.stanford.edu/~jsteinhardt/
cs.stanford.edu
http://www.kyunghyuncho.me/
kyunghyuncho.me
https://scholar.google.com/citations?user=DaFHynwAAAAJ&hl=en
scholar.google.com
Attention and Augmented Recurrent Neural Networks Read at the source ↗
distill.pub
https://colah.github.io/posts/2014-07-Conv-Nets-Modular/
colah.github.io
https://colah.github.io/posts/2014-03-NN-Manifolds-Topology/
colah.github.io
https://colah.github.io/posts/2014-07-NLP-RNNs-Representations/
colah.github.io