'scipy.misc' has no attribute 'imsave'
来源： https://stackoverflow.com/questions/57253048/scipy-misc-has-no-attribute-imsave
scipy
Why extract sample from wav file using udacity gui and scipy give different values?
来源： https://stackoverflow.com/questions/48923943/why-extract-sample-from-wav-file-using-udacity-gui-and-scipy-give-different-valu
scipy normal distribution with scale greater and less than 1 [duplicate]
来源： https://stackoverflow.com/questions/61091824/scipy-normal-distribution-with-scale-greater-and-less-than-1
Is there a multiple integrator in Python providing both variable integration limits (like scipy) and high precision (like mpmath)?
来源： https://stackoverflow.com/questions/63443828/is-there-a-multiple-integrator-in-python-providing-both-variable-integration-lim
Is there a multiple integrator in Python providing both variable integration limits (like scipy) and high precision (like mpmath)?
来源： https://stackoverflow.com/questions/63443828/is-there-a-multiple-integrator-in-python-providing-both-variable-integration-lim
Reproduce sox spectrogram in scipy
来源： https://stackoverflow.com/questions/56456419/reproduce-sox-spectrogram-in-scipy
TypeError: Cannot cast array data from dtype('O') to dtype('float64') according to the rule 'safe'
来源： https://stackoverflow.com/questions/59652764/typeerror-cannot-cast-array-data-from-dtypeo-to-dtypefloat64-according
Compute matrix of pairwise angles between two arrays of points
来源： https://stackoverflow.com/questions/34738076/compute-matrix-of-pairwise-angles-between-two-arrays-of-points
Compute matrix of pairwise angles between two arrays of points
来源： https://stackoverflow.com/questions/34738076/compute-matrix-of-pairwise-angles-between-two-arrays-of-points
###好好好####深度学习---多标签分类问题
keras multi-label classification 多标签分类 问题：一个数据又多个标签，一个样本数据多个类别中的某几类；比如一个病人的数据有多个疾病，一个文本有多种题材，所以标签就是： [1,0,0,0,1,0,1] 这种高维稀疏类型，如何计算分类准确率？ 分类问题： 二分类 多分类 多标签 Keras metrics (性能度量) 介绍的比较好的一个博客： https://machinelearningmastery.com/custom-metrics-deep-learning-keras-python/ 还有一个介绍loss的博客： https://machinelearningmastery.com/how-to-choose-loss-functions-when-training-deep-learning-neural-networks/ metrics：在训练的每个batch结束的时候计算训练集acc，如果提供验证集（一个epoch结束计算验证集acc），也同时计算验证集的性能度量，分为回归任务和分类任务，有不同的acc计算办法；metrics 里面可以放 loss （回归问题）或者acc（分类问题）； A metric is a function that is used to judge the performance of your