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  <author_name>aipacommander</author_name>
  <author_url>https://blog.hatena.ne.jp/aipacommander/</author_url>
  <blog_title>ITの隊長のブログ</blog_title>
  <blog_url>https://aipacommander.com/</blog_url>
  <categories>
    <anon>Tensorflow</anon>
    <anon>Python3</anon>
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  <description>import tensorflow as tf class MyModel(tf.keras.Model): def __init__(self, output_node): super(MyModel, self).__init__() self.d1 = tf.keras.layers.Dense(128, activation='relu') self.d2 = tf.keras.layers.Dense(output_node, activation='softmax') def call(self, x): x = self.d1(x) return self.d2(x) こんな簡単…</description>
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  <provider_name>Hatena Blog</provider_name>
  <provider_url>https://hatena.blog</provider_url>
  <published>2019-05-06 19:43:18</published>
  <title>Tensorflow2系のサブクラスモデルの構造は保存できない</title>
  <type>rich</type>
  <url>https://aipacommander.com/entry/2019/05/06/194318</url>
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