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텍스트 생성 모델

Authored by S Chung

Computers

11th Grade

Used 3+ times

텍스트 생성 모델
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5 questions

Show all answers

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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