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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>
  </categories>
  <description>TimeSoftmaxWithLoss.forward 内の xs = xs.reshape(N * T, V) について考えたい。簡単な動きを見るコードを考える &gt;&gt;&gt; import numpy as np &gt;&gt;&gt; a = np.array(range(24)).reshape(2, 3, 4) &gt;&gt;&gt; print(a) [[[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11]] [[12 13 14 15] [16 17 18 19] [20 21 22 23]]] &gt;&gt;&gt; print(a.reshape(2*3, 4)) [[ 0 1 2 3] [ 4 5 6 7] [ …</description>
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  <image_url></image_url>
  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2021-11-14 02:44:25</published>
  <title>ゼロつく 2 (16)</title>
  <type>rich</type>
  <url>https://randommemory.hatenablog.com/entry/2021/11/14/024425</url>
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