來自 DeepMind 的兩篇重要論文，關于免模型規(guī)劃和一般化的貢獻分配研究。值得大家研讀。感興趣的小伙伴 可以私信我。我們將在近期分享解析。 ...
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PapeRman #1
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Things you Must know to Build AGI
Trends on computation Assertion-based analysis; Conditional transformati...
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想象不到的福利 | UAI 人工智能大學 『AI 成長社』終身制
AI人的路途，注定是一個孤獨的旅程，需要力量溫暖?？吹搅撕芏嗑€上和線下的課程，UAI深知AI學習者的痛點，知道你們無法被市面上的AI課程所滿足。...
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Trust, confidence and Verifiable Data Audit
https://deepmind.com/blog/trust-confidence-verifiable-data-audit/ Data c...
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DeepMind’s work in 2016: a round-up
AuthorsTuesday, 3 January 2017 Demis HassabisCo-Founder & CEO, DeepMind ...
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50 things I learned at NIPS?2016 by Andreas Stuhlmüller
注明：本文全文轉(zhuǎn)載https://blog.ought.com/nips-2016-875bb8fadb8c I learned many th...
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Overcoming catastrophic forgetting in neural networks
https://arxiv.org/pdf/1612.00796v1.pdf The ability to learn tasks in a s...
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讀論文Hybrid computing using a neural network with dynamic external memory （一）又是一篇deepmind發(fā)表在nature上的文章，還記得前面2篇嗎？一篇是DQN，一篇講AlphaGo。發(fā)表在nature上的論文格式不太一樣...
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Using Fast Weights to Attend to the Recent Past
Until recently, research on artificial neural networks was largely restr...
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GAIC 全球人工智能大會預熱之四——深度強化學習的來頭Neil Zhu，簡書ID Not_GOD，University AI 創(chuàng)始人 & Chief Scientist，致力于推進世界人工智能化進程...
專題公告
深入探究 DeepMind 出產(chǎn)的研究成果和發(fā)展動向
0. https://deepmind.com/index.html
1. https://deepmind.com/publications.html
2. https://deepmind.com/alpha-go.html
3. https://deepmind.com/dqn.html
4. https://deepmind.com/health.html
線下活動：
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