deep dive evan with

Deep Learning:工业自动化和生产效率的变革者

Deep Learning 将改变工业。机器将能够完成那些需要人类智慧的工作。伴随着企业流程数字化和数据收集的发展,Deep Learning 的应用也将增加,使人类和机器之间的合作更加高效。这将彻底改变自动化和生产,实现更高效且更正确的决策流程以及更高的生产力,同时显著降低开发成本。 在我们的播客 ......
生产效率 Learning 效率 工业 Deep

python Compile failed: command '/usr/bin/clang' failed with exit code 1 解决办法

一、升级pip pip3 install --upgrade pip 然后,更新设置工具: python3 -m pip install --upgrade setuptools ......
failed Compile command 办法 python

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

目录概TallRec代码 Bao K., Zhang J., Zhang Y., Wang W., Feng F. and He X. TALLRec: An effective and efficient tuning framework to align large language model ......

Rcpp安装时报错“error: ‘::timespec_get’ has not been declared” with conda root package

安装Rcpp时报错“error: ‘::timespec_get’ has not been declared” with conda root package 解决方法: In my case, I run conda upgrade -c conda-forge --all to have ac ......

【论文阅读笔记】【OCR-文本识别】 Scene Text Recognition with Permuted Autoregressive Sequence Models

PARSeq ECCV 2022 读论文思考的问题 论文试图解决什么问题? 一些文本识别模型会对 semantic 信息建模,从而辅助某些困难情况下的文本识别 传统的 auto-regressive 方式限制了语义信息的传输方向;双向的 auto-regressive 聚合增加了不必要的计算量和复杂 ......

DELL服务器启动报错there are offline or missing virtual drivers with preserved cache

生产一台服务器硬盘故障报错,关机拔出硬盘装入新硬盘,启动要进入阵列卡系统,启动无法进入,报错 There are offline or missing virtual drives with preserved cache. Please check the cables and ensure th ......
preserved offline missing drivers virtual

[Javascript] Prevent JavaScript Object Tampering with the SES Library harden Function

https://www.npmjs.com/package/ses Lockdown The lockdown() function also tames some objects including regular expressions, locale methods, and errors. ......

import torch_geometric报错Could not find module '...\torch_sparse\_convert_cpu.pyd' (or one of its dependencies). Try using the full path with constructor syntax.

按照官网步骤安装完torch-scatter、torch-sparse、torch-cluster和torch-spline-conv等依赖项,也成功安装了torch_geometric,但在导入的时候还是报错: 原因是没有C++环境,在该网址中https://visualstudio.micros ......

整理《DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks》

DQNViz: A Visual Analytics Approach to Understand Deep Q-Networks 论文/强化学习可视化 摘要 打算研究深度强化学习方向,整理最近的一篇 2019 年的论文,作为总结思考! 论文介绍 该论文是一篇 2019 年,有关基于可视化进行强化学 ......

Approximation with Gradient Descent Method

title: Approximation with Gradient Descent Method layout: page categories: data analysis Polynomial Approximation with Gradient Descent Method Suppose ......
Approximation Gradient Descent Method with

centOS6.5 无法使用yum源的问题 removing mirrorlist with no valid mirrors: /var/cache/yum/x86_64/6/base/mirrorlist.txt

一次在临时服务器执行 yum命令出现报错问题: removing mirrorlist with no valid mirrors: /var/cache/yum/x86_64/6/base/mirrorlist.txt ...... 1、修改fastestmirror.conf的配置参数 sed ......
mirrorlist yum removing centOS6 mirrors

Design of A Basic Computer Model With Stack Function

This post introduces how to design a basic computer model which can achieve commmon stack functions. ......
Computer Function Design Basic Model

.NET C# 9.0 record和with的定义及使用

C# 9 引入record,它一种可以创建的新引用类型,而不是类或结构。 C# 10 添加了 record structs,以便可以将记录定义为值类型。 记录与类不同,区别在于record类型使用基于值的相等性。 两个记录类型的变量在它们的类型和值都相同时,它们是相等的。with 表达式在 C# 9 ......
record with NET 9.0

Paper Reading: A hybrid deep forest-based method for predicting synergistic drug combinations

为了解决联合用药数据的不平衡、高维、样本数量有限的问题,本文首先构建了一个由药物的物理、化学和生物特性组成的特征集,包括了丰富的生物学信息。特征空间的每个维度都有特定的含义,便于进行可解释性分析,找出预测过程中的关键特征。针对这种不平衡的高维中型数据集,提出了一种改进的基于 Deep Forest ... ......

如何在voj上用自己的账号提交(Submit with your own account)

用voj交题的时候大部分情况都是voj用一个虚拟的bot账号帮你提交到对应题目所在的oj上进行判题 但有些oj平台并不喜欢这种方式,它想让用户去用自己真实的账号提交,比如pta,洛谷,计蒜客...... 在voj上用自己的账号提交的方法如下: 拿pta举例: 在上图中我们发现我们需要一个叫做PTAS ......
账号 account Submit with your

docker compose failed to solve with frontend dockerfile.v0: failed to create LLB definition: unexpected status code [manifests 18.04]: 403 Forbidden

使用docker build命令构建镜像报: “failed to solve with frontend dockerfile.v0: failed to create LLB definition: unexpected status code [manifests 18.04]: 403 Fo ......

Proj. Unknown: Deciding Differential Privacy of Online Algorithms with Multiple Variables

Paper https://arxiv.org/abs/2309.06615 Abstract 背景: 自动机A被称作查分隐私自动机:当对某些D,对任何隐私预算ε>0,该自动机是Dε-differentially private( A DiP automaton is a parametric au ......

PHP file_get_contents(): SSL operation failed with code 1. OpenSSL Error message...

在调试php脚本代码时,发现使用 file_get_contents() 函数请求HTTPS的网址链接时出现了报错,其报错代码如下面所示“file_get_contents(): SSL operation failed with code 1. OpenSSL Error message...”百 ......

Syntax Error: Error: Node Sass version 8.0.0 is incompatible with ^4.0.0.

依赖关系如图: 如果报如题这个错误,并且按照上面node-sass官网的依赖关系依赖对了node版本还不行,那么,请删除node-sass npm uninstall node-sass 然后执行 npm i sass --save-dev 然后运行项目,如果出现类似图片中的错误时,别慌,把所有的/ ......
Error incompatible version Syntax Node

Man or Honor 怒海潜将,壮志潜龙 美军的Navy Dive Carl Brashear

上午路上刷到一个电影解说,讲的是Carl Brashear,从一位黑人少年,成长为美军中潜水不对Master Chief的传奇经历。人啊,凡事要靠自己,自我成长比什么都重要。 剧中的那句 ASNF - A Son Never Forgets,赤子之心,是发人深省的警句。 ......
怒海 美军 Brashear Honor Dive

Graph Neural Networks with Adaptive Residual

目录概符号说明AirGNN代码 Liu X., Ding J., Jin W., Xu H., Ma Y., Liu Z. and Tang J. Graph neural networks with adaptive residual. NIPS, 2021. 概 基于 UGNN 框架的一个更加鲁 ......
Adaptive Networks Residual Neural Graph

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

abstruct \(\quad\) 受能量压缩表现的启发,提出了不均匀通道情况自适应编码.结合不均匀分组模型和现有上下文模型,获得一种空间通道上下文自适应模型,来提高编码性能,而不影响其运行时间。 \(\quad\)这种模型支持预览解码和渐进解码。 introduction 学习图像压缩中最重要的 ......

SqlServer的With递归查询子父级

工作中有一个需求,要判断客户是否有后续订单,就是查后面的订单是否此客户ID下单, 而且要把此客户的所有关联的客户也都判断上 这有点头痛,因为关联客户是一个嵌套型父子级的结构,客户A关联客户B,客户B关联客户C,客户C关联客户D,无论取客户A、B、C、D任一一个去查,都要把整个关联关系的客户A、B、C ......
SqlServer With

Introduction of Deep Reinforcement Learning

Reading Notes about the book Deep Reinforcement Learning written by Aske Plaat Recently, I have been reading the book Deep Reinforcement Learning writ ......
Reinforcement Introduction Learning Deep of

Solution to OpenSSL Connection Problems With Github

Problems Uploading Files with Git Sometimes we can use git tool to successfully upload projects to Github, but in other time especially after a period ......
Connection Solution Problems OpenSSL Github

2How To Use Python On A Web Page With Jinja2 - Fla 21:30

# localhost:5000/user/John @app.route("/user/<name>") def user(name): return render_template("user.html", user_name=name) 这段代码是使用了 Flask 框架创建一个路由。具体解释 ......
Python Jinja2 Jinja 2How Page

在CentOS7上更改端口号时报错:Job for sshd.service failed because the control process exited with error

1、问题描述 在在CentOS7×上更改端口号时报错: “Job for sshd.service failed because the control process exited with error code.See ‘systemcl status& sshd service" and fo ......
口号 时报 CentOS7 because control

华为最高学术成果发表 —— 《Nature》正刊发表论文《Accurate medium-range global weather forecasting with 3D neural networks》

论文《Accurate medium-range global weather forecasting with 3D neural networks》的《Nature》地址: https://www.nature.com/articles/s41586-023-06185-3.pdf 论文的代码地 ......

Evans一些gap的补充(一)

P41 计算球上的Poisson kernel的积分 \(\displaystyle\int_{\partial B(0,1)}K(x,y)dS(y)=\frac{1-|x|^2}{n\alpha(n)}\int_{\partial B(0,1)}\frac{1}{|x-y|^n}dS(y)\) 令 ......
Evans gap

Paper Reading: WCDForest: a weighted cascade deep forest model toward the classifcation tasks

针对 gcForest 存在的一些缺点,本文提出了一种 WCDForest 模型来提高小样本分类数据集的准确率。为了提高 WCDForest 的特征提取能力,提出了一种等量多粒度扫描模块,可以平等地扫描边缘特征。提出了类向量加权模块和特征增强模块,它们重新评估了 RF 在多粒度扫描和级联森林阶段的分... ......
160 classifcation WCDForest weighted Reading