CS256
Chris Pollett
Nov 15, 2021
Which of the following is true?
model = keras.Sequential() # Add an Embedding layer expecting input vocab of size 1000, and # output embedding dimension of size 64. model.add(layers.Embedding(input_dim=1000, output_dim=64)) # Add a LSTM layer with 128 internal units. model.add(layers.LSTM(128)) # Add a Dense layer with 10 units. model.add(layers.Dense(10)) model.summary()
model = keras.Sequential() model.add( layers.Bidirectional(layers.LSTM(64, return_sequences=True), input_shape=(5, 10)) ) model.add(layers.Bidirectional(layers.LSTM(32))) model.add(layers.Dense(10)) model.summary()