在张量流中的神经网络中添加层时出错[关闭]答案

【问题标题】：Error adding layers in neural network in tensorflow [closed]在张量流中的神经网络中添加层时出错[关闭]
【发布时间】：2020-09-15 23:25:10
【问题描述】：

import tensorflow as tf

from tensorflow.keras.datasets import mnist             
from tensorflow.keras import models                     
from tensorflow.keras import layers                     
from tensorflow.keras.utils import to_categorical         

network=models.Sequential()    # this initializes a sequential model that we will call network
network.add(layers.Dense(10, activation = 'relu')    # this adds a dense hidden layer 
network.add(layers.Dense(8, activation = 'softmax'))  # this is the output layer

我正在尝试在 tensorflow 中创建一个 2 层神经网络模型并收到此错误：

File "<ipython-input-6-0dde2ff676f8>", line 7
network.add(layers.Dense(8, activation = 'softmax'))  # this is the output layer
      ^
SyntaxError: invalid syntax

我可以知道为什么输出层会出现此错误，而隐藏层不会出现此错误吗？谢谢。

【问题讨论】：

您在第 7 行缺少)。

标签： tensorflow neural-network tensorflow2.0

【解决方案1】：

你有missed a closing bracket。

import tensorflow as tf
from tensorflow.keras.datasets import mnist             
from tensorflow.keras import models                     
from tensorflow.keras import layers                     
from tensorflow.keras.utils import to_categorical         

network=models.Sequential()    # this initializes a sequential model that we will call network
network.add(layers.Dense(10, activation = 'relu'))    # this adds a dense hidden layer 
network.add(layers.Dense(8, activation = 'softmax'))  # this is the output layer

【讨论】：