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Yufei Luo's Blog - But I was so much older then, I am younger than that now.
概率论 - 基本概念 | Yufei Luo's Blog
https://lyf35.github.io/2022/01/11/%E6%A6%82%E7%8E%87%E8%AE%BA-%E5%9F%BA%E6%9C%AC%E6%A6%82%E5%BF%B5/
随机事件与概率 随机事件及其运算 随机现象 在一定的条件下,并不总是出现相同结果的现象被称为随机现象,例如投掷一枚骰子出现的点数。随机现象的结果不止一个,且人们事先无法知道哪一个结果出现。对相同条件下可以重复的随机现象的观察、记录、实验称为随机试验。 样本空间 随机现象的一切可能基本结果组成的集合称为样本空间,记为Ω={ω}\Omega={\omega}Ω={ω},其中ω\omegaω
深度学习-卷积神经网络 | Yufei Luo's Blog
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
机器学习 - 线性回归 | Yufei Luo's Blog
tags | Yufei Luo's Blog
https://lyf35.github.io/about/
一个材料专业毕业的野生程序员的个人博客
数理统计 - 点估计 | Yufei Luo's Blog
https://lyf35.github.io/2021/12/20/%E6%95%B0%E7%90%86%E7%BB%9F%E8%AE%A1-%E7%82%B9%E4%BC%B0%E8%AE%A1/
定义 定义在统计结构分布族P={Pθ,θ∈Θ}\mathscr{P}={P_{\theta},\theta\in\Theta}P={Pθ,θ∈Θ}上的一个实值泛函g(P)g(P)g(P)称为参数,而统计结构(X,B,P)(\mathscr{X},\mathscr{B},\mathscr{P})(X,B,P)上的用来估计g(P)g(P)g(P)的实值统计量称为g(P)g(P)g(P)的点估计
OpenSSL-EVP(摘录) | Yufei Luo's Blog
论文笔记 - Neural Message Passing for Quantum Chemistry | Yufei Luo's Blog
简介 Neural Message Passing for Quantum Chemistry是来自于2017年ICML会议中的一篇文章。文中将一些图卷积运算总结为Message Passing Neural Network(MPNN)框架,并基于这一框架提出了enn-s2s的图神经网络结构,在分子性质的预测上取得了State-of-the-art的表现。下面将详细介绍文章的内容。
tags | Yufei Luo's Blog
一个材料专业毕业的野生程序员的个人博客
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
tags | Yufei Luo's Blog
https://lyf35.github.io/categories/
一个材料专业毕业的野生程序员的个人博客
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
计算机网络 - 传输层 | Yufei Luo's Blog
计算机组成原理 - 高速缓存 | Yufei Luo's Blog
深度学习 - 目标检测 | Yufei Luo's Blog
计算机网络:传输层 | Yufei Luo's Blog
传输层服务 进程到进程通信 传输层位于应用层和网络层之间,它在两个应用层之间提供进程到进程的通信,两个进程分别位于本地和远程主机上。 注意:网络层负责的是计算机层次的通信(即主机到主机),但是网络层协议只是把报文传递到目的计算机。由于报文需要递交给正确的进程,而这一部分正是传输层负责的部分。
论文笔记 - Neural Message Passing for Quantum Chemistry | Yufei Luo's Blog
简介 Neural Message Passing for Quantum Chemistry是来自于2017年ICML会议中的一篇文章。文中将一些图卷积运算总结为Message Passing Neural Network(MPNN)框架,并基于这一框架提出了enn-s2s的图神经网络结构,在分子性质的预测上取得了State-of-the-art的表现。下面将详细介绍文章的内容。
OpenSSL - 基本使用 | Yufei Luo's Blog
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
深度学习 - TensorRT 模型部署 | Yufei Luo's Blog
概述 本文以部署目标检测模型YOLOv5为例,说明如何使用TensorRT C++ API部署训练好的神经网络模型,并进行推理。YOLOv5模型的输入为(batch_size, channels, image_height, image_width),用于推理的模型输出为(batch_size, image_height / 32 * image_width / 32 * 21, num_cla
数据分析 - NumPy | Yufei Luo's Blog
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
https://lyf35.github.io/2021/01/05/%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90-Pandas/
一个材料专业毕业的野生程序员的个人博客
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
深度学习 - TensorRT 模型部署 | Yufei Luo's Blog
概述 本文以部署目标检测模型YOLOv5为例,说明如何使用TensorRT C++ API部署训练好的神经网络模型,并进行推理。YOLOv5模型的输入为(batch_size, channels, image_height, image_width),用于推理的模型输出为(batch_size, image_height / 32 * image_width / 32 * 21, num_cla
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
论文笔记 - 等变图神经网络 | Yufei Luo's Blog
引言 本文的主要内容是关于等变图神经网络的一些研究进展,简单介绍了几种用来实现等变的方法,以及在分子性质预测任务中的一些代表性网络结构的简介。注意本文的内容具有一定的时效性,主要介绍的是本文更新日期之前的工作。
密码学 - 数字签名 | Yufei Luo's Blog
OpenSSL - 基本使用 | Yufei Luo's Blog
Yufei Luo's Blog - But I was so much older then, I am younger than that now.
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