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Keras假形状,

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嗨有人知道keras吗?我不明白问题是什么?我遇到了这个问题:

ValueError: You are passing a target array of shape (1000, 1) while 
using as loss `categorical_crossentropy`. `categorical_crossentropy` 
expects targets to be binary matrices (1s and 0s) of shape (samples, 
classes). If your targets are integer classes, you can convert them to 
the expected format via...
from keras.utils import to_categorical
y_binary = to_categorical(y_int)


Alternatively, you can use the loss function ` 
sparse_categorical_crossentropy` instead, which does expect integer targets.

Hieer是完整的代码:https://ideone.com/v9yojt

1 回答

  • 0

    binary_crossentropy 更改 categorical_crossentropy

    第83行集:

    model.compile(loss='binary_crossentropy', optimizer="sgd", metrics=['accuracy'])
    

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