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솜씨좋은장씨
[Kaggle DAY06]Real or Not? NLP with Disaster Tweets! 본문
Kaggle/Real or Not? NLP with Disaster Tweets
[Kaggle DAY06]Real or Not? NLP with Disaster Tweets!
솜씨좋은장씨 2020. 2. 19. 02:18728x90
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Kaggle 도전 6회차!
오늘은 좀 더 간단한 신경망 모델을 사용해보려고합니다.
첫번째 제출
model2 = Sequential()
model2.add(Embedding(max_words, 100, input_length=23)) # 임베딩 벡터의 차원은 32
model2.add(Flatten())
model2.add(Dense(128, activation='relu'))
model2.add(Dense(2, activation='sigmoid'))
model2.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
history = model2.fit(X_train_vec, y_train, epochs=3, batch_size=32, validation_split=0.1)
결과
두번째 제출
model2 = Sequential()
model2.add(Embedding(max_words, 100, input_length=23)) # 임베딩 벡터의 차원은 32
model2.add(Flatten())
model2.add(Dense(128, activation='relu'))
model2.add(Dense(2, activation='sigmoid'))
model2.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
history = model2.fit(X_train_vec, y_train, epochs=1, batch_size=32, validation_split=0.1)
결과
세번째 제출
model2 = Sequential()
model2.add(Embedding(max_words, 100, input_length=23)) # 임베딩 벡터의 차원은 32
model2.add(Flatten())
model2.add(Dense(64, activation='relu'))
model2.add(Dense(2, activation='sigmoid'))
model2.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
history2 = model2.fit(X_train_vec, y_train, epochs=1, batch_size=32, validation_split=0.1)
결과
네번째 제출
model2 = Sequential()
model2.add(Embedding(max_words, 100, input_length=23)) # 임베딩 벡터의 차원은 32
model2.add(Flatten())
model2.add(Dense(32, activation='relu'))
model2.add(Dense(2, activation='sigmoid'))
model2.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
history2 = model2.fit(X_train_vec, y_train, epochs=1, batch_size=32, validation_split=0.1)
결과
다섯번째 제출
model2 = Sequential()
model2.add(Embedding(max_words, 100, input_length=23)) # 임베딩 벡터의 차원은 32
model2.add(Flatten())
model2.add(Dense(32, activation='relu'))
model2.add(Dense(2, activation='sigmoid'))
model2.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])
history2 = model2.fit(X_train_vec, y_train, epochs=1, batch_size=16, validation_split=0.1)
결과
'Kaggle > Real or Not? NLP with Disaster Tweets' 카테고리의 다른 글
[Kaggle DAY08]Real or Not? NLP with Disaster Tweets! (0) | 2020.03.05 |
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[Kaggle DAY07]Real or Not? NLP with Disaster Tweets! (0) | 2020.03.04 |
[Kaggle DAY05]Real or Not? NLP with Disaster Tweets! (0) | 2020.02.18 |
[Kaggle DAY04]Real or Not? NLP with Disaster Tweets! (0) | 2020.02.16 |
[Kaggle DAY03]Real or Not? NLP with Disaster Tweets! (0) | 2020.02.15 |
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