layers.py 文件源码

def __init__(self, dense_dim, sequence_length=0,
                 input_dim=0, dropout=0.0):
        model = Sequential()
        model.add(Dense(dense_dim,
                        activation='relu',
                        input_shape=(input_dim,)))
        model.add(Dropout(dropout))
        model.add(BatchNormalization())
        self.model = TimeDistributed(model, input_shape=(sequence_length, input_dim,))