为什么下面的代码在a==b的情况下会失败,而在其他情况下却运行得很好?错误:ValueError: Shapes must be equal rank, but are 2 and 1 for 'Assign' (op: 'Assign') with input shapes/usr/bin/env python3b = 12
x = keras.layers.Input(s
我在Python3.7.4版本中运行了这段代码,得到了一个ValueError。: Error when checking target: expected dense_8 to have shape (1,) but got array with shape (2,)数值: 1.16.4keras: 2.3.1我将非常感谢
为了在终端和jupyter中运行python程序,我在mac中执行了以下步骤: install python3.6.8 binary) which python # this prints /Users/xxx/envs/keras/bin/python
(keras) which python3 #
pip install Kerasprint(Keras.__version__)print(tf.__version__)
在整理了上面的代码之后,当我试图使用nlp和深度学习解决分类问题时,我遇到了这个错误,这就是为什么我试图安装tensorflow和keras。但它不断地给我带来错误。Requirement already satisfied: Keras in c:\