目前,我这样做:
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我想做这样的事情:
import tensorflow as tf
keras = tf.contrib.keras
Sequential = keras.models.Sequential
Dense = keras.layers.Dense
Dropout = keras.layers.Dropout
Flatten = keras.layers.Flatten
Conv2D = keras.layers.Conv2D
MaxPooling2D = keras.layers.MaxPooling2D
但是当我尝试这个时,我得到了
import tensorflow as tf
keras = tf.contrib.keras
from tf.contrib.keras import (Sequential, Dense, Dropout, Flatten,
Conv2D, MaxPooling2D)
是否有比第一个代码块更短的方式来导入这些类?
ImportError: No module named tf.contrib.keras
Nr 2
>>> from tensorflow.contrib.keras import (Sequential, Dense, Dropout, Flatten)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ImportError: cannot import name Sequential
答案 0 :(得分:3)
首先,您需要使用tensorflow
模块的实际名称导入,而不是您用于它的tf
别名:
其次,tensorflow.contrib.keras
的包结构有点奇怪。名字
tensorflow.contrib.keras.models
tensorflow.contrib.keras.layers
实际上是更深层嵌套模块的别名
tensorflow.contrib.keras.api.keras.models
tensorflow.contrib.keras.api.keras.layers
以及创建这些别名的方式不允许您使用from
导入来导入其内容。您可以直接使用“真实”名称:
from tensorflow.contrib.keras.api.keras.models import Sequential
from tensorflow.contrib.keras.api.keras.layers import (
Dense, Dropout, Flatten, Conv2D, MaxPooling2D)
(这里有更多的别名 - tensorflow.contrib.keras.api.keras.*
模块从tensorflow.contrib.keras.python.keras
中提取大部分内容 - 但我们无需担心这一点。)
答案 1 :(得分:1)
试试这个:
from tensorflow.contrib.keras.models import Sequential
from tensorflow.contrib.keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D