分类：softmax函数

2020
10-08

关于tensorflow softmax函数用法解析

如下所示：defsoftmax(logits,axis=None,name=None,dim=None):"""Computessoftmaxactivations.Thisfunctionperformstheequivalentofsoftmax=tf.exp(logits)/tf.reduce_sum(tf.exp(logits),axis)Args:logits:Anon-empty`Tensor`.Mustbeoneofthefollowingtypes:`half`,`float32`,`float64`.axis:Thedimensionsoftmaxwouldbeperformedon.Thedefaultis-1whichindicatesthelastd... 继续阅读 >

2020
10-07

python编写softmax函数、交叉熵函数实例

python代码如下：importnumpyasnp#Writeafunctionthattakesasinputalistofnumbers,andreturns#thelistofvaluesgivenbythesoftmaxfunction.defsoftmax(L):passexpL=np.exp(L)sumExpL=sum(expL)result=[]foriinexpL:result.append(i*1.0/sumExpL)returnresultpython编写交叉熵公式：importnumpyasnpdefcross_entropy(Y,P):Y=np.float_(Y)P=np.float_(P)return-np.sum(Y... 继续阅读 >