
텍스트 생성 모델
Authored by S Chung
Computers
11th Grade
Used 3+ times

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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
다음 중 장단기 메모리 모델은?
NN
CNN
RNN
LSTM
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
다음 중 장단기 메모리 모델 구성 과정에서 ①에 들어갈 단어는?
model = Sequential()
model.add( ① (128, input_shape = (maxlen, len(chars))))
model.add( ② (len(chars), activation = 'softmax'))
NN
CNN
Dense
LSTM
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
다음 중 장단기 메모리 모델 구성 과정에서 ②에 들어갈 단어는?
model = Sequential()
model.add( ① (128, input_shape = (maxlen, len(chars))))
model.add( ② (len(chars), activation = 'softmax'))
NN
CNN
Dense
LSTM
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
다음 중 모델 컴파일에 해당하는 것은?
model = Sequential()
model.add(Dense(len(chars), activation = 'softmax'))
model.compile(loss = 'categorical_crossentropy', optimizer = 'RMSprop')
model.fit(x, y, batch_size = 128, epochs = 1)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
다음 중 모델 학습에 해당하는 것은?
model = Sequential()
model.add(Dense(len(chars), activation = 'softmax'))
model.compile(loss = 'categorical_crossentropy', optimizer = 'RMSprop')
model.fit(x, y, batch_size = 128, epochs = 1)
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