密度与时间分布（密度）

Question

这两种使用Dense层的方法之间有什么区别吗？似乎输出形状相同并且参数数量相同。

1. 如果使用固定权重，输出将相同吗？
2. 训练期间的结果会一样吗？

def test_rnn_output_v1():

    max_seq_length = 10
    n_features = 8
    rnn_dim = 64
    dense_dim = 16

    input = Input(shape=(max_seq_length, n_features))
    out = LSTM(rnn_dim, return_sequences=True)(input)
    out = Dense(dense_dim)(out)

    model = Model(inputs=[input], outputs=out)

    print(model.summary())

    # (None, max_seq_length, n_features)
    # (None, max_seq_length, dense_dim)

def test_rnn_output_v2():

    max_seq_length = 10
    n_features = 8
    rnn_dim = 64
    dense_dim = 16

    input = Input(shape=(max_seq_length, n_features))
    out = LSTM(rnn_dim, return_sequences=True)(input)
    out = TimeDistributed(Dense(dense_dim))(out)

    model = Model(inputs=[input], outputs=out)

    print(model.summary())

    # (None, max_seq_length, n_features)
    # (None, max_seq_length, dense_dim)

Answer 1