Hinata

<p>model fit と train_on_batch 違い</p>
<p>model fit : ミニバッチ勾配降下法？（全10データでバッチサイズ2なら５回パラメータの更新をする）<br>
train_on_batch : 1バッチ（バッチサイズが２なら２データで学習）</p>
<p><span class="embed-block zenn-embedded zenn-embedded-card"><iframe id="zenn-embedded__72e9feadbfe3c" src="https://embed.zenn.studio/card#zenn-embedded__72e9feadbfe3c" data-content="https%3A%2F%2Fstackoverflow.com%2Fquestions%2F62629997%2Fdifference-between-tensorflow-model-fit-and-train-on-batch" frameborder="0" scrolling="no" loading="lazy"></iframe></span><a href="https://stackoverflow.com/questions/62629997/difference-between-tensorflow-model-fit-and-train-on-batch" style="display:none" target="_blank" rel="nofollow noopener noreferrer">https://stackoverflow.com/questions/62629997/difference-between-tensorflow-model-fit-and-train-on-batch</a></p>
