July 2018
Intermediate to advanced
474 pages
13h 37m
English
model = Sequential()model.add(Embedding(vocab_size, 100, input_length=sequence_length))model.add(LSTM(200, return_sequences=True))model.add(LSTM(200))model.add(Dropout(0.3))model.add(Dense(200, activation='relu'))model.add(Dense(vocab_size, activation='softmax'))print(model.summary())

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