Misreading Chat

#09 – Automatic Differentiation in Machine Learning: a Survey

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自動微分のサーベイ論文 “Automatic differentiation in machine learning: a survey” を 森田が PyTorch のコードを読みつつ紹介します。感想などはハッシュタグ #misreading か [email protected] にお寄せください。

https://misreading.chat/wp-content/uploads/2018/05/ep09.mp3

  • [1502.05767] Automatic differentiation in machine learning: a survey
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  • Chainer: a next-generation open source framework for deep learning
  • Implementation of Control Flow in TensorFlow
  • pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration
    • Release alpha-1 release · pytorch/pytorch aka. v0.1.1
    • Yann LeCun on Twitter: “Dude, there were graph-based deep learning frameworks with AD back in 1991 (SN at AT&T) and its open source successor Lush, released in 2002.… https://t.co/sL2wPnaOJY”
    • 深層学習 (Goodfellow の教科書日本語訳)
      • Follow-up and Correction
      • Netflix Research
      • How to Adopt Modern C++17 into Your C++ Code – YouTube
        • Amazon.com: A Tour of C++
        • Carnegie Mellon Launches Undergraduate Degree in Artificial Intelligence | Carnegie Mellon School of Computer Science
          • Curriculum | Carnegie Mellon School of Computer Science
            • PyTorch の論文は 2017 の Autodiff Workshop で発表されていたようです。
            • 10:25 あたりで計算途中の変数が Tensor になっていると言っていますが、Variable の間違いです。

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