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import tensorflow as tfa = tf.random.shuffle(tf.range(5))a tf.sort(a, direction='DESCENDING') # 返回索引tf.argsort(a, direction='DESCENDING') idx = tf.argsort(a, direction='DESCENDING')tf.gather(a, idx) idx = tf.argsort(a
Day1:周末早起昏昏欲睡,在候车室买了剑盾(剁手1st),差不多中午12:00办了入住(?记不清了),差不多12:30去报了道,有一说一卫衣还蛮好看的wwww,之后就赶紧去食堂恰了饭,六个人拼了一桌菜,其实我感觉味道一般(可能是因为来得晚菜凉了)QAQ ,午饭图: 之后进体育馆开幕式都已经开始了,热身赛倒是自己
Description: The Hamming distance between two integers is the number of positions at which the corresponding bits are different. Now your job is to find the total Hamming distance between all pairs of the given numbers. Example: Input: 4, 14, 2Output: 6
SIT292 ASSIGNMENT 3: ORTHOGONALISATION, SUBSPACES ANDLINEAR CODESGUILLERMO PINEDA-VILLAVICENCIOInstructionsThis is an individual assignment. The aim of the assignment is that the student appliesconcepts and methods studied in Weeks 8-10 to solve problem
SIT292 ASSIGNMENT 3: ORTHOGONALISATION, SUBSPACES ANDLINEAR CODESGUILLERMO PINEDA-VILLAVICENCIOInstructionsThis is an individual assignment. The aim of the assignment is that the student appliesconcepts and methods studied in Weeks 8-10 to solve problems
测试文件:https://adworld.xctf.org.cn/media/task/attachments/69c8f29912ae4f679d92a6cd36c33196.pyc 这里需要用到一个pyc文件反编译的工具,可以使用在线https://tool.lu/pyc/,也可以使用命令下载 pip install uncompyle 1.准备 pyc文件就是 py程序编译后得到的字节码文件
之前一直不清楚Top1和Top5是什么,其实搞清楚了很简单,就是两种衡量指标,其中,Top1就是普通的Accuracy,Top5比Top1衡量标准更“严格”, 具体来讲,比如一共需要分10类,每次分类器的输出结果都是10个相加为1的概率值,Top1就是这十个值中最大的那个概率值对应的分类恰好正确的频率,而Top5则是在
原文链接:http://www.cnblogs.com/wangyh/archive/2009/07/08/TDD-by-example-2.html 分析 在开始写代码前,首先分析一下这个问题,做一个粗略的规划。我们可以写一个to-do list: 随机生成答案 检查输入是否合法 判断猜测结果 记录历史猜测数据并显示 判
20行Python代码实现pycharm自动补全功能 引入 大家在使用谷歌或者百度搜索时,输入搜索内容时,谷歌总是能提供非常好的拼写检查,比如你输入 speling ,谷歌会马上返回 spelling 。 那么我们是不是可以利用到pycharm中的补全代码功能呢? 20行Python代码实现pycharm自动补全功能 下
Why Response.Redirect causes System.Threading.ThreadAbortException? The correct pattern is to call the Redirect overload with endResponse=false and make a call to tell the IIS pipeline that it should advance directly to the EndRequest stage once you ret
Softmax Python实现 一 、不使用one-hot编码 import numpy as np def data_loss_softmax(scores, labels): num_examples = scores.shape[0] exp_scores = np.exp(scores) exp_scores_sum =
Generalized German Quotation Time Limit: 3 Sec Memory Limit: 512 Mb 题目链接http://acm.csu.edu.cn:20080/csuoj/problemset/problem?pid=2312 Description Generalized German Quotationstandard inputstandard output3 seconds512 megabytes German language uses
批改多选题是比较麻烦的事情,本题就请你写个程序帮助老师批改多选题,并且指出哪道题错的人最多。 输入格式: 输入在第一行给出两个正整数 N(≤ 1000)和 M(≤ 100),分别是学生人数和多选题的个数。随后 M 行,每行顺次给出一道题的满分值(不超过 5 的正整数)、选项个数(不少于 2 且不超过 5 的
1 /*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */ 2 3 /* Document 4 ========================================================================== */ 5 6 /** 7 * 1. Correct the line height in all browsers. 8 *