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  <author_name>derwind</author_name>
  <author_url>https://blog.hatena.ne.jp/derwind/</author_url>
  <blog_title>らんだむな記憶</blog_title>
  <blog_url>https://randommemory.hatenablog.com/</blog_url>
  <categories>
    <anon>machine_learning</anon>
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  <description>\begin{align} \frac{d}{d x} (x^2)^2\Big|_{x=3} = 108 \end{align}を自動微分で求めてみましょ・・・というだけ。[TensorFlow] x = tf.constant(3.0) with tf.GradientTape() as t: t.watch(x) y = x * x z = y * y dz_dx = t.gradient(z, x) print(dz_dx) tf.Tensor(108.0, shape=(), dtype=float32) [PyTorch] x = torch.tensor(3.0, requires…</description>
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  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2019-11-06 02:27:26</published>
  <title>自動微分</title>
  <type>rich</type>
  <url>https://randommemory.hatenablog.com/entry/2019/11/06/022726</url>
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