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→다양한 사례의 연구결과 공유
|[https://github.com/gilbutITbook/006975/blob/master/2.1-a-first-look-at-a-neural-network.ipynb 링크]
|[https://github.com/gilbutITbook/006975/blob/master/2.1-a-first-look-at-a-neural-network.ipynb 링크]
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|영화 리뷰 분류.
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긍정리뷰와 부정리뷰 분류.
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|<syntaxhighlight lang="python">
model = models.Sequential()
model.add(layers.Dense(16, activation='relu', input_shape=(10000,)))
model.add(layers.Dense(16, activation='relu'))
model.add(layers.Dense(1, activation='sigmoid'))
</syntaxhighlight>
|정확도는 약 90%
|[https://github.com/gilbutITbook/006975/blob/master/3.4-classifying-movie-reviews.ipynb 링크]
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