在张量流中的神经网络中添加层时出错
Error adding layers in neural network in tensorflow
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,但出现此错误:
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出现此错误但隐藏层没有出现此错误吗?谢谢
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
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,但出现此错误:
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出现此错误但隐藏层没有出现此错误吗?谢谢
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