Linking pages
- Talent shortage in AI is a myth: reply to Cedric Villani | by Mostapha Benhenda | The AI Lab | Medium https://medium.com/the-ai-lab/talent-shortage-in-ai-is-a-myth-reply-to-cedric-villani-c592047a9a1b 124 comments
- What Should You Do with Your Life? Directions and Advice - Alexey Guzey https://guzey.com/personal/what-should-you-do-with-your-life/ 23 comments
- GitHub - andri27-ts/Reinforcement-Learning: Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning https://github.com/andri27-ts/60_Days_RL_Challenge 22 comments
- Ingredients for Robotics Research https://openai.com/blog/ingredients-for-robotics-research/ 8 comments
- The Secret to Mastering ML. Actually build things. I’ll show you… | by Harsh Sikka | Technomancy | Medium https://medium.com/technomancy/the-secret-to-mastering-ml-9e328d5f06a 7 comments
- Ingredients for Robotics Research https://blog.openai.com/ingredients-for-robotics-research/ 0 comments
- GitHub - gsurma/slitherin: AI research environment for the game of Snake 🐍 . https://github.com/gsurma/slitherin 0 comments
Linked pages
- ChatGPT https://chat.openai.com/ 742 comments
- https://deepmind.com/blog/alphago-zero-learning-scratch/ 408 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- Competitive Self-Play https://blog.openai.com/competitive-self-play/ 138 comments
- slither.io https://slither.io 86 comments
- Understanding LSTM Networks -- colah's blog https://colah.github.io/posts/2015-08-Understanding-LSTMs/ 64 comments
- http://www.youtube.com/watch?v=wdbtp0b94am 5 comments
- https://arxiv.org/abs/1707.06347 3 comments
- LSTMVis http://lstm.seas.harvard.edu/latex/ 1 comment
- http://mnemstudio.org/path-finding-q-learning-tutorial.htm 1 comment
- Meet the High Schooler Shaking Up Artificial Intelligence | WIRED https://www.wired.com/story/meet-the-high-schooler-shaking-up-artificial-intelligence 0 comments
- GitHub - openai/gym: A toolkit for developing and comparing reinforcement learning algorithms. https://github.com/openai/gym 0 comments
- [1611.01331] RenderGAN: Generating Realistic Labeled Data https://arxiv.org/abs/1611.01331 0 comments
- [1610.06258] Using Fast Weights to Attend to the Recent Past https://arxiv.org/abs/1610.06258 0 comments
- [1511.06051] SparkNet: Training Deep Networks in Spark http://arxiv.org/abs/1511.06051 0 comments
- Batch Normalization — What the hey? | by Karl N. | Gab41 https://gab41.lab41.org/batch-normalization-what-the-hey-d480039a9e3b#.xz5w1e3hs 0 comments
- [1412.6651] Deep learning with Elastic Averaging SGD http://arxiv.org/abs/1412.6651 0 comments
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