ValueError: could not broadcast input array from shape - 代码天地

ValueError: could not broadcast input array from shape

其他 2018-07-01 14:09:01 阅读次数: 0

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转载自blog.csdn.net/fu6543210/article/details/80810884

ValueError: could not broadcast input array from shape

ValueError: could not broadcast input array from shape (22500,3) into shape (1)

ValueError:could not broadcast input array from shape (450,600,3) into shape (64,64,3)

SNIPER-MXNet中出现ValueError: could not broadcast input array from shape (XXX,5) into shape (100,5)

【report】tf-faster-rcnn 运行自己的训练数据 could not broadcast input array from shape (4) into shape (0)

ValueError: operands could not be broadcast together with shapes解决

ValueError: could not determine the shape of object type ‘Series’.

解决ValueError: bad input shape (xxxx, x)

Python中报错提示ValueError: operands could not be broadcast together with shapes

ValueError: operands could not be broadcast together with shapes (128,) (104,) (128,)

成功解决ValueError: Could not interpret input day

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

ValueError: operands could not be broadcast together with shapes (9,8) (8,9)

moviepy AudioClip的max_volume方法报错ValueError: operands could not be broadcast together with shapes(2,)

Python中报错提示ValueError: operands could not be broadcast together with shapes (15,1) (14,1)

ValueError: operands could not be broadcast together with shapes (320,320,4) (3,) (320,320,4)

valueError cannot reshape array of size 4356 into shape (64,64) 如何解决？

Python||报错：ValueError: endog has evaluated to an array with multiple columns that has shape (805, 2)

【已解决】ValueError: cannot reshape array of size 509760 into shape (500,353,3)

【TensorFlow】ValueError: Shape must be rank 1 but is rank 0 for ' ’ with input shapes: [].问题

ValueError: Shape must be rank 2 but is rank 0 for 'MatMul_8' (op: 'MatMul') with input shapes: [],

python3 ValueError: The shape of the input to "Flatten" is not fully defined (got (0, 6, 80)

sklearn里计算roc_auc_score，报错ValueError: bad input shape

ValueError: Input 0 is incompatible with layer decoder_or_generator: expected shape=(None, 4, 4, 1)

expected dense_10_input to have shape (13,) but got array with shape (1,)

when checking input expected input_image_meta to have shape (None,14)but got array with shape (1,15)

深度学习:使用残差网络时出现ValueError: Operands could not be broadcast together with shapes (2985, 48) (2984, 48)

mxnet随笔-broadcast,shape,ndim

mxnet-broadcast,shape,ndim

Error when checking input: expected input_1 to have 3 dimensions, but got array with shape (37, 30）

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