論文筆記11：Relational inductive biases, deep learning, and graph networks翻譯筆記
關係歸納偏置、深度學習和圖網絡 DeepMind; Google Brain; MIT; University of Edinburgh 參考 https://zhuanlan.zhihu.com/p/40733008 摘要 人工智能近幾年大火起來，在計算機視覺、自然語言處理、控制和決策等關鍵領域取得重大進展。這在一定程度上歸因於廉價的數據和計算資源，它們符合深度學習的本質優勢。然而，人類智力的許
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相關文章
- 1. Relational inductive biases, deep learning, and graph networks
- 2. 讀書筆記7：Relational inductive biases, deep learning, and graph networks
- 3. GNN新作《Relational inductive biases，deep learning，and graph networks》讀書筆記
- 4. 《Relational inductive biases, deep learning, and graph networks》圖網絡 論文解讀
- 5. 《Relational inductive biases, deep learning, and graph networks》論文解讀（轉載）
- 6. Relational inductive biases, deep learning, and graph networks 論文導讀，DeepMind圖網絡
- 7. GNN初學筆記（一）—— Relational inductive biases, deep learning, and graph networks簡要解析
- 8. 《Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks》 論文翻譯筆記
- 9. Neural Networks and Deep Learning 學習筆記（一）
- 10. Deep Neural Networks for Learning Graph Representations論文筆記