LSTM
LSTM层 keras.layers.recurrent.LSTM(units, activation= 'tanh' , recurrent_activation= 'hard_sigmoid' , use_bias= True , kernel_initializer= 'glorot_uniform' , recurrent_initializer= 'orthogonal' , bias_initializer= 'zeros' , unit_forget_bias= True , kernel_regularizer= None , recurrent_regularizer= None , bias_regularizer= None , activity_regularizer= None , kernel_constraint= None , recurrent_constraint= None , bias_constraint= None , dropout= 0.0 , recurrent_dropout= 0.0 ) 核心参数 units input_dim return_sequences input_length :当输入序列的长度固定时,该参数为输入序列的长度。当需要在该层后连接Flatten层,然后又要连接Dense层时,需要指定该参数