tensorflow---logits and labels must be broadcastable

其他 2018-09-10 07:26:47 阅读次数: 0

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转载自blog.csdn.net/zxyhhjs2017/article/details/82429225

tensorflow---logits and labels must be broadcastable

ValueError: labels must be unique if ordered=True； pass ordered=False for duplicate labels

python 报ValueError: Bin labels must be one fewer than the number of bin edges

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ValueError: Only call `softmax_cross_entropy_with_logits` with named arguments (labels=..., logits=.

交叉熵tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None)

[Bug集合]Rank mismatch: Rank of labels (received 2) should equal rank of logits minus 1 (received 2)

1、求loss：tf.reduce_mean（tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None)）

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Tensorflow:TypeError: pred must not be a Python bool

Output tensors to a Model must be the output of a TensorFlow `Layer`

tensorflow报错In[0] ndims must be ＞= 2: 1

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ValueError: Tensorflow error: “Tensor must be from the same graph as Tensor…”

Tensorflow报错：ValueError: Stride must be > 0, but got 0 for '...' with input shapes: [...], [...]

Output tensors to a Model must be the output of a TensorFlow `Layer`等问题记录

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