526互联

engineering thinking teaching learning

ML-for-AGV-Dispatching：Learn.py逐段解读

import numpy as np import Routing import random as rd import tensorflow as tf import matplotlib.pyplot as plt import pandas as pd from sklearn import ......
ML-for-AGV-Dispatching Dispatching Learn AGV for

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval 解读

# Multi-Modal Attention Network Learning for Semantic Source Code Retrieva Multi-Modal Attention Network Learning for Semantic Source Code Retrieval，题 ......
Multi-Modal Attention Retrieval Learning Semantic

Effective Diversity in Population-Based Reinforcement Learning

![](https://img2023.cnblogs.com/blog/1428973/202307/1428973-20230707084258489-1960518081.png) **发表时间：**2020 (NeurIPS 2020) **文章要点：**这篇文章提出了Diversity v ......
Population-Based Reinforcement Population Effective Diversity

FOSTER：Feature Boosting and Compression for Class-Incremental Learning论文阅读笔记

## 摘要 先前的类增量学习方法要么难以在稳定性-可塑性之间取得较好的平衡，要么会带来较大的计算/存储开销。受gradient boosting的启发，作者提出了一种新型的两阶段学习范式FOSTER，以逐步适应目标模型和先前的集合模型之间的残差，使得该模型能够自适应地学习新的类别。具体来说，作者首先 ......
Class-Incremental Compression Incremental Boosting Learning

Unreal Engine4 GPU崩溃或3D设备丢失的解决方案

起因： Unreal Engine4 在渲染时报错GPU崩溃或3D设备丢失 解决办法： regedit 打开注册表 在以下2个路径下 新建 DWORD(32-bit) Value 命名为 TdrDelay ，并修改数值为： 60 （ 十进制 ） Computer\HKEY_LOCAL_MACHINE ......
解决方案 Engine4 方案 Unreal Engine

Docker engine | Docker compose 非桌面版安装教程[ubuntu]

### Docker| Docker compose - ubuntu下安装【Ubuntu】docker engine，非桌面版本 - 官网链接: [Install Docker Engine on Ubuntu | Docker Documentation](https://docs.docker ......
Docker 桌面 compose 教程 engine

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning---reading

# Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning reading - 攻击目标 - 安全破坏 - 完整性破坏: 逃避检测，而不影响正常的系统运行 - 可用性破坏: 使得合法用户不能正常使用系统 - 隐私 ......
Adversarial Patterns Learning Machine reading

Spectrum Random Masking for Generalization in Image-based Reinforcement Learning

郑重声明：原文参见标题，如有侵权，请联系作者，将会撤销发布！ ......
Generalization Reinforcement Image-based Spectrum Learning

使用easy-captcha验证码出现javax. script ScriptEngine.eval(String)" because "engine" is nul

1. 问题 java项目使用 ArithmeticCaptcha 验证码，出现 javax. script ScriptEngine.eval(String)" because "engine" is nul ArithmeticCaptcha captcha = new ArithmeticCap ......
quot easy-captcha ScriptEngine captcha because

COMP9444 Neural Networks and Deep Learning

COMP9444 Neural Networks and Deep LearningTerm 2, 2023Project 1 - Characters and Hidden UnitDynamicsDue: Wednesday 5 July, 23:59 pmMarks: 20% of final ......
Networks Learning Neural COMP 9444

thinkphp6:报错:Driver [Think] not supported

一，报错信息： { code:422, msg:"Driver [Think] not supported.", data:"" } 如图: 问题的原因：使用view这个类但相应的库未安装 二，解决: 安装topthink/think-view这个库即可 [lhdop@blog tpapibase] ......
thinkphp6 supported thinkphp Driver Think

Faster sorting algorithms discovered using deep reinforcement learning

## 摘要： - `AlphaDev`模型优化排序算法，将排序算法提速70％。通过强化学习，AlphaDev发现了更加有效的算法，直接超越了科学家和工程师们几十年来的精心打磨。现在，新的算法已经成为两个标准C++编码库的一部分，每天都会被全球的程序员使用数万亿次。 ## 介绍 - 优化目标为排序算法 ......
reinforcement algorithms discovered learning sorting

LEARNING TO SAMPLE WITH LOCAL AND GLOBAL CONTEXTS FROM EXPERIENCE REPLAY BUFFERS

![](https://img2023.cnblogs.com/blog/1428973/202306/1428973-20230625114456465-1558069206.png) **发表时间：**2021（ICLR 2021） **文章要点：**这篇文章想说，之前的experience r ......
EXPERIENCE LEARNING CONTEXTS BUFFERS GLOBAL

How about learning medical treatment model

> Learning medical treatment models can be a great way to gain a deeper understanding of how diseases are diagnosed and treated. There are many differ ......
treatment learning medical about model

Reinforcement learning

如图1所示，强化学习中，state是环境的状态，就是observation。 图1 强化学习 一、Policy based approach learning an actor The policy based approach is to learn an actor (agent or poli ......
Reinforcement learning

Self-attention with Functional Time Representation Learning

[TOC] > [Xu D., Ruan C., Kumar S., Korpeoglu E. and Achan K. Self-attention with functional time representation learning. NIPS, 2019.](http://arxiv.or ......
Self-attention Representation Functional attention Learning

unreal engine 5.2 c++ 自定义gameplay

# 1. 新建c++工程 ![image](https://img2023.cnblogs.com/blog/2065202/202306/2065202-20230623115137130-1060219184.png) # 2. 打开world setting ![image](https:// ......
gameplay unreal engine 5.2

unreal engine 5.2 默认语言设置为English

# 默认语言设置为English 编辑/编辑器偏好设置/区域和语言 -> 编辑器语言/编辑器地区 ![image](https://img2023.cnblogs.com/blog/2065202/202306/2065202-20230623125500329-1424796385.gif) ......
English 语言 unreal engine 5.2

论文阅读 | Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective

Soteria:基于表示的联邦学习中可证明的隐私泄露防御https://ieeexplore.ieee.org/document/9578192 # 3 FL隐私泄露的根本原因 ## 3.1 FL中的表示层信息泄露 **问题设置** 在FL中，有多个设备和一个中央服务器。服务器协调FL进程，其中每个 ......
Representation Perspective Federated Provable Learning

GPT-Engineer：根据指示生成代码的AI

AutoGPT之后，又一个明星项目诞生了！ GPT-Engineer一夜之间火遍全网，GitHub项目已经狂揽19k星。 这是一个根据指示生成代码的AI工具，你只需要「动动嘴」，就能直接构建整个代码库。 项目地址：https://github.com/AntonOsika/gpt-engineer ......
GPT-Engineer 指示 Engineer 代码 GPT

Proj. CAR Paper Reading: Augmenting Decompiler Output with Learned Variable Names and Types

## Abstract 背景： 1. decompilers难以恢复注释、variable names, custom variable types 本文： 工具：DIRTY((DecompIled variable ReTYper) 方法: postprocesses decompiled fil ......
Augmenting Decompiler Variable Learned Reading

EulerNet Adaptive Feature Interaction Learning via Euler’s Formula for CTR Prediction

[TOC] > [Tian Z., Bai T., Zhao W., Wen J. and Cao Z. Eulernet: Adaptive feature interaction learning via euler’s formula for ctr prediction. SIGIR, 20 ......
Interaction Prediction EulerNet Adaptive Learning

Writing for Engineers（作为工程师应该如何写作） —— Stemwede

本文对一篇外文的工程师写作指导进行提炼总结，介绍了工程师写作中需要注意的一些技巧，值得立志成为工程师的小伙伴阅读 ......
Engineers Stemwede 工程师 Writing 工程

Welcome To Learn Dapper

Welcome To Learn Dapper This site is for developers who want to learn how to use Dapper - The micro ORM created by the people behind Stack Overflow. W ......
Welcome Dapper Learn To

《深度学习(deep learning)》pdf电子书免费下载

《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第 1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第 2部分系统深入地讲解现今已成熟的深度学习 ......
电子书 深度 learning 免费下载 电子

Feature Engineering: 超好用的特征工程Python库: feature_engine

https://leanpub.com/feature-selection-machine-learning-feature-engine https://github.com/feature-engine/feature_engine https://feature-engine.trainind ......
feature_engine Engineering 特征 Feature feature

COMP9417 - Machine Learning

COMP9417 - Machine LearningHomework 1: Regularized Regression & NumericalOptimizationIntroduction In this homework we will explore some algorithms for ......
Learning Machine COMP 9417

选修-4-Optimization for Deep Learning

# 1. Some Nitations 在本小节开始之前,需要知道的符号含义. ![image](https://img2023.cnblogs.com/blog/2264614/202306/2264614-20230604200321926-907208090.png) # 2. What is ......
Optimization Learning Deep for

【笔记】learning git branching

git图是由子节点指向父节点（可能有多个父节点） ### git commit ![](https://img2020.cnblogs.com/blog/1172536/202007/1172536-20200715144542508-446112338.png) ### git branch ![ ......
branching learning 笔记 git

了解基于模型的元学习：Learning to Learn优化策略和Meta-Learner LSTM

摘要：本文主要为大家讲解基于模型的元学习中的Learning to Learn优化策略和Meta-Learner LSTM。 本文分享自华为云社区《深度学习应用篇-元学习[16]：基于模型的元学习-Learning to Learn优化策略、Meta-Learner LSTM》，作者：汀丶 。 1. ......
Meta-Learner Learning 模型 策略 Learner
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