Hacker News
- Understanding LSTM Networks (2015) http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 10 comments
- Understanding LSTM networks http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 17 comments
- A very good blog post to learn about LSTM Networks. https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 22 comments learnmachinelearning
- Questions about LSTM and PyTorch https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 11 comments deeplearning
- Understanding LSTM Networks -- colah's blog http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 4 comments datascience
Linking pages
- Computer, respond to this email. – Google AI Blog http://googleresearch.blogspot.com/2015/11/computer-respond-to-this-email.html 236 comments
- Learning Dexterity https://blog.openai.com/learning-dexterity/ 160 comments
- How you can train an AI to convert your design mockups into HTML and CSS https://medium.freecodecamp.org/how-you-can-train-an-ai-to-convert-your-design-mockups-into-html-and-css-cc7afd82fed4 155 comments
- How to solve 90% of NLP problems: a step-by-step guide | by Emmanuel Ameisen | Insight https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e 74 comments
- GitHub - oxford-cs-deepnlp-2017/lectures: Oxford Deep NLP 2017 course https://github.com/oxford-cs-deepnlp-2017/lectures 66 comments
- Google Brain Residency http://tinyclouds.org/residency/ 55 comments
- Transformers from scratch | peterbloem.nl http://peterbloem.nl/blog/transformers 40 comments
- Training a Recurrent Neural Network to Compose Music https://maraoz.com/2016/02/02/abc-rnn/ 32 comments
- How to Start Learning Deep Learning – Ofir Press http://ofir.io/How-to-Start-Learning-Deep-Learning/ 29 comments
- The fall of RNN / LSTM. We fell for Recurrent neural networks… | by Eugenio Culurciello | Towards Data Science https://towardsdatascience.com/the-fall-of-rnn-lstm-2d1594c74ce0 27 comments
- MTG Hivemind: Artificial Intelligence designing Magic! | by Lucas Demo | Medium https://medium.com/@lukbebalduke/mtg-hivemind-artificial-intelligence-designing-magic-372530640cc1 27 comments
- Using neural networks to detect car crashes in dashcam footage | by Rachel Wagner-Kaiser | Insight https://blog.insightdatascience.com/crash-catcher-detecting-car-crashes-in-video-9c0522b04558 25 comments
- Transformers are Graph Neural Networks https://thegradient.pub/transformers-are-graph-neural-networks/ 25 comments
- Music and Machine Learning - ai.SensiLab http://ai.sensilab.monash.edu/2018/08/23/Neural-Music/ 24 comments
- GitHub - tomepel/Technical_Book_DL: This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent. https://github.com/tomepel/Technical_Book_DL 23 comments
- ML Resources https://sgfin.github.io/learning-resources/ 21 comments
- GitHub - kootenpv/neural_complete: A neural network trained to help writing neural network code using autocomplete https://github.com/kootenpv/neural_complete 20 comments
- Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab https://graphdeeplearning.github.io/post/transformers-are-gnns/ 19 comments
- GitHub - amitness/learning: A log of things I'm learning https://github.com/amitness/learning 17 comments
- How Transformers Work. Transformers are a type of neural… | by Giuliano Giacaglia | Towards Data Science https://medium.com/@giacaglia/transformers-141e32e69591 17 comments
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