嗨，有人了解 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
最佳答案
将categorical_crossentropy更改为binary_crossentropy
第 83 行设置:
model.compile(loss='binary_crossentropy', optimizer="sgd", metrics=['accuracy'])
关于python - Keras假形，，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/53702456/