计算机视觉——【模型训练】bug调试 typeError:The value of a feed cannot be a tf.Tensor object. - 代码天地

计算机视觉——【模型训练】bug调试 typeError:The value of a feed cannot be a tf.Tensor object.

其他 2020-04-20 10:52:24 阅读次数: 0

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转载自blog.csdn.net/u011106767/article/details/94406483

计算机视觉——【模型训练】bug调试 typeError:The value of a feed cannot be a tf.Tensor object.

TypeError: The value of a feed cannot be a tf.Tensor object.

TypeError: The value of a feed cannot be a tf.Tensor object. Acceptable feed values include Python s

【Tensorflow Erro】 TypeError: The value of a feed cannot be a tf.Tensor object.

TensorFlow 报错 TypeError: The value of a feed cannot be a tf.Tensor object

typeError:The value of a feed cannot be a tf.Tensor object.Acceptable feed values include Python scalars,strings,lists.numpy ndarrays,or TensorHandles.For reference.the tensor object was Tensor...

TypeError: Cannot convert object to primitive value

记录：tensoflow改错TypeError: Cannot interpret feed_dict key as Tensor: Can not convert a float into a Te

ValueError: Cannot feed value of shape (1,) for Tensor u'Placeholder:0', which has shape '(1, 1)'

ValueError: Cannot feed value of shape (64, 2) for Tensor 'input_y:0', which has shape '(?, 3)'

Cannot feed value of shape (0,) for Tensor 'input_image:0', which has shape '(?, 224, 224, 3)']

ValueError: Cannot feed value of shape (784,) for Tensor 'Placeholder:0', which has shape '(?, 784)'

已解决ValueError: Cannot feed value of shape (1, 10, 4) for Tensor ‘Placeholder:0‘, which has shape ‘(?

TypeError: POST data should be bytes, an iterable of bytes, or a file object. It cannot be of type s

ValueError: Cannot feed value of shape (2,) for Tensor u'Placeholder_2:0', which has shape '(1, 2)'

Uncaught TypeError: Cannot read property 'value'' of null

TypeError: ‘Tensor‘ object is not callable

error:You must feed a value for placeholder tensor 'momentum' with dtype float

vue.runtime.esm.js?2b0e:1897 TypeError: Cannot convert object to primitive value

merged = tf.summary.merge_all()引起的出错：You must feed a value for placeholder tensor ‘input/y-input‘

tf.Tensor 查看

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