Python model.add（layers.maxpoolg1d（pool\u size=3））^syntaxer:无效语法

我犯了这个错误。有什么问题？我搜索过它，但几乎在所有地方都找到了相同的语法

这是我的整个模型。模型中还有其他问题吗？我正在对音素进行语音识别

   model.add(layers.MaxPooling1D(pool_size=3))
        ^
SyntaxError: invalid syntax

在这条线上

import tensorflow as tf 
from keras import layers
from keras import models

model = models.Sequential()

#First Conv1D layer
model.add(layers.Conv1D(8,13, input_shape=(-1,8000,1), activation='relu',padding='valid', strides=1))
model.add(layers.MaxPooling1D(pool_size=3))
model.add(layers.Dropout(0.3))

model.add(layers.BatchNormalization(axis=-1, momentum=0.99, epsilon=1e-3, center=True, scale=True)(inputs))
#Second Conv1D layer

model.add(layers.Conv1D(16, 11,activation='relu', padding='valid', strides=1)
model.add(layers.MaxPooling1D(pool_size=3))
model.add(layers.Dropout(0.3))

#Third Conv1D layer
model.add(layers.Conv1D(32, 9, activation='relu',padding='valid', strides=1)
model.add(layers.MaxPooling1D(pool_size=3))
model.add(layers.Dropout(0.3))

model.add(layers.BatchNormalization(axis=-1, momentum=0.99, epsilon=1e-3, center=True, scale=True))

model.add(layers.Bidirectional(GRU(128, return_sequences=True), merge_mode='sum'))
model.add(layers.Bidirectional(GRU(128, return_sequences=True), merge_mode='sum'))
model.add(layers.Bidirectional(LSTM(128, return_sequences=False), merge_mode='sum'))

model.add(layers.BatchNormalization(axis=-1, momentum=0.99, epsilon=1e-3, center=True, scale=True))

#Flatten layer
model.add(layers.Flatten())

#Dense Layer 1
model.add(layers.Dense(256, activation='relu'))
model.add(layers.Dense(len(labels), activation="softmax"))

model.summary()

你忘了合上括号

换成这个

#Second Conv1D layer

model.add(layers.Conv1D(16, 11,activation='relu', padding='valid', strides=1)

下一行出现相同的错误

model.add(layers.Conv1D(16, 11,activation='relu', padding='valid', strides=1))

#Third Conv1D layer
model.add(layers.Conv1D(32, 9, activation='relu',padding='valid', strides=1)

要修复它，只需添加最后一个括号

#Third Conv1D layer
model.add(layers.Conv1D(32, 9, activation='relu',padding='valid', strides=1))