def InitLSTM(self,LSTM,Name,InputSize)
????? LSTM.Forget_Wights_X=tf.Variable(tf.truncated_normal(
????????????????????????????????????????????????? shape=? [InputSize,LSTM.Size],stddev=0.1))
????? LSTM.Forget_Wights_Z=tf.Variable(tf.truncated_normal(
????????????????????????????????????????????????? shape=[LSTM.Size,LSTM.Size],stddev=0.1),)
????? LSTM.Forget_Biases=tf.Variable(tf.zeros(shape=[LSTM.Size]))
????? LSTM.Output_Wights_X=tf.Variable(tf.truncated_normal(
???????????????????????????????????????????????? shape=[InputSize,LSTM.Size],stddev=0.1),)
???? LSTM.Output_Wights_Z=tf.Variable(tf.truncated_normal(
???????????????????????????????????????????????? shape=[LSTM.Size,LSTM.Size]),)
???? LSTM.Output_Biases=tf.zeros(shape=[LSTM.Size],)
???? LSTM.Generate_Wights_Xi=tf.Variable(tf.truncated_normal(
????????????????????????????????????? shape=[InputSize,LSTM.Size],stddev=0.1),)
???? LSTM.Generate_Wights_XC=tf.Variable(tf.truncated_normal(
????????????????????????????????????? shape=[InputSize,LSTM.Size],stddev=0.1),)
???? LSTM.Generate_Wights_Zi=tf.Variable(tf.truncated_normal(
???????????????????????????????????? shape=[LSTM.Size.Size],stddev=0.1))
???? LSTM.Generate_Wights_ZC=tf.Variable(tf.truncated_normal(
???????? shape=[LSTM.Size,LSTM.Size],stddev=0.1))
????????? LSTM.Generate_Biases=tf.zeros(shape=[LSTM.Size])
????????? LSTM.HState=tf.zeros(shape=[LSTM.Size],name="HState"+Name)
???????? LSTM.CState=tf.zeros(shape=[LSTM.Size],name="CState"+Name)
def????? CalculateLSTM(self,LSTM,Input):
????????? Out=None
?????????? for i in??? range(LSTM.Step):
?????????? Forget=tf.matmul(Input,LSTM.Forget_Wights_X)\
???????????????????????????? +tf.matmul(LSTM.HState,LSTM.Forget_Wights_Z)\
?????????????????????????????????? +LSTM.Forget_Biases
????????? Generate_i=tf.matmul(Input,LSTM.Generate_Wights_Xi)\
??????????????????????????????????? +tf.matmul(LSTM.HState,LSTM.Generate_Wights_Zi)\
??????????????????????????????????????? +LSTM.Generate_Biases_i
?????????? Generate_C=tf.matmul(Input,LSTM.Generate_Wights_XC)\
?????????????????????????????????????? +tf.matmul(LSTM.HState,LSTM.Generate_Wights_ZC)\
??????????????????????????????????????????? +LSTM.Generate_Biases_C
?????????? Out=tf.matmul(Input,LSTM.Output_Wights_X)\
????????????????????????????????????? +tf.matmul(LSTM.HState,LSTM.Output_Wights_Z)\
????????????????????????????????????????? +LSTM.Output_Biases
?????????? #Updata State
????????????? LSTM.CState=Forget*LSTM.HState+Generate_C*Generate_i
????????????? LSTM.HState=Out*tf.tanh(LSTM.CState)
???????????? returnOut