再求平均值 loss1=(-log(2.718/(2.718+7.387))+(-log(7.387/(2.718+7.387)))/2 loss2=(-log(7.387/(2.718+7.387))+(-log(7.387/(2.718+7.387)))/2 loss=(loss1+loss2)/2 loss=0.563
sequence_loss是nlp算法中非常重要的一个函数.rnn,lstm,attention都要用到这个函数.看下面代码: # coding: utf-8import numpy as np import tensorflow as tf from tensorflow.contrib.seq2seq import sequence_loss logits_np = np.array([ [[0.5,0.5,0.5,0.5], [0.5,0.5,0.5,0.5], [0.5,0.5,0.5,0.5]...
#tf.contrib.seq2seq.sequence_loss example:seqence loss 实例代码#!/usr/bin/env python# -*- coding: utf-8 -*-importtensorflowastfimportnumpyasnpparams=np.random.normal(loc=0.0,scale=1.0,size=[10,10])encoder_inputs=tf.placeholder(dtype=tf.int32,shape=[10,10])decoder_inputs=tf.placeholder...
原因就是几乎每次只优化loss最大的那个,每次都只是sequence中的local优化,试想一下,只优化loss最大的那个pos,其他不管当然差了,这也给我们一个教训“目标函数就是我们的目标,根据目标函数再计算梯度,然后优化就是自然而然的事了”,这里我们的目标函数变成了优化最大loss的pos,那么计算accuracy和global loss肯定很差...
示例1: sequence_loss ▲点赞 3▼ # 需要导入模块: from tensorflow.python.ops import seq2seq [as 别名]# 或者: from tensorflow.python.ops.seq2seq importsequence_loss[as 别名]defsequence_loss(self, y_pred, y_true):''' Loss function for the seq2seq RNN. Reshape predicted and true (label...
它的优点是机制简单，当新的引用指向该对象时，引用计数加1，当一个对象的引用被销毁时减1，一旦对象...
sequence stressing loss网络释义 不同时拉紧钢丝束应力损失 ... sequence of prestressing 预应力工序 sequence stressing loss 不同时拉紧钢丝束应力损失 series 群列 ... 基于6个网页-相关网页 短语 sequence e stressing loss 不同时拉紧钢丝束应力损失 ...
网络不同时拉紧钢丝束应力损失 网络释义 1. 不同时拉紧钢丝束应力损失 建筑词汇英语翻译... ... sequence of prestressing 预应力工序sequence stressing loss不同时拉紧钢丝束应力损失series 群列 ... www.zftrans.com|基于21个网页
在线看DOUBLE RAW — Sequence of the Loss (official.. 4分钟 11秒。2019 9月 5的高清视频,VK免费视频库免注册! 6 — 已浏览。 1 — 已评价。
When created with theCACHEoption, an unexpected shutdown (such as a power failure) may result in the loss of sequence numbers remaining in the cache. General Remarks Sequence numbers are generated outside the scope of the current transaction. They are consumed whether the transaction using the se...