keras:Exception: Error when checking model target

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keras:Exception: Error when checking model target

问题: 用keras的functional API搭建多输入多输出模型时,报错某个输出层对应的类标数组大小与模型中不一致. 解决办法:升级keras到最新版(doge脸)keras迭代太快了啊摔,总有些莫名其妙的错误因为版本引起,注意升级吧.. pip install git+git://github.com/fchollet/keras.git --upgrade --no-deps…

ValueError: Error when checking input: expected conv2d_1_input to have 4 dimensions, but got array with shape (60000, 28, 28)

报错 Traceback (most recent call last): File "D:/PyCharm 5.0.3/WorkSpace/3.Keras/3.构建各种神经网络/3.CNN.py", line 46, in <module> model.fit(x_train, y_train, epochs=1, batch_size=32) File "D:\Anaconda3\lib\site-packages\keras\engine\training.…

ValueError: Error when checking input: expected input_1 to have 2 dimensions, but got array with shape (100, 100, 100, 3)

报错 Traceback (most recent call last): File "D:/PyCharm 5.0.3/WorkSpace/3.Keras/1.Sequential与Model模型.Keras基本结构功能/2_1.py", line 22, in <module> model.fit(data,labels,epochs=3) File "D:\Anaconda3\lib\site-packages\keras\engine\training.p…

开始 Keras 序列模型（Sequential model）

开始 Keras 序列模型(Sequential model) 序列模型是一个线性的层次堆栈. 你可以通过传递一系列 layer 实例给构造器来创建一个序列模型. The Sequential model is a linear stack of layers. You can create a Sequential model by passing a list of layer instances to the constructor: from keras.models import Se…