文章是李沐发表的关于机器学习系统的文章,提出了业界较为通用的经典机器学习/深度学习算法的大规模分布式系统架构——参数服务器(Parameter Server)。 大体上看,ps是一个数据并行的系统框架,数据和梯度计算都放在worker节点上,而server节点负责保存和维护全局共享的参数,其中,参数以稀疏/稠密的向量/矩阵表示。该框架通过...
ML-and-DL self-learning Author wangzhong 目录 basic-model 机器学习手写算法和实战,如线性回归,LR,SVM,KMEANS等 异常检测实战和推荐算法实战等 吴恩达机器学习作业 dlmodel 深度学习主要模型复现,主要是CNN方向 深度之眼论文精读代码复现 alex:alexnet-pytorch复现实战 ...
老师有提到希望我介绍 your expectation for phd studies,我加了这部分到slides里。还有一个是interests,老师想让我讲一下,不过我真的很难specify一个方向(以前没有做过projects的病诶),我就和老师介绍了自己对于矩阵、tensor分解恢复之类的东西,包括图像处理、降噪之类的,我讲自己有优化背景,希望把优化作为工具用在...
ML and DL algorithms: 机器学习与深度学习算法 algorithms for interview: 面试算法 algorithms for competition: 竞赛算法 classic algorithms: 经典算法 阿里云盘提取码: 24dc A Common-Sense Guide to Data Structures and Algorithms - Level Up Your Core Programming Skills.epub ...
MLReef tracks and controls the process by associating code version control, research projects, performance metrics, and model provenance. We designed MLReef on best data science practices combined with the knowleged gained from DevOps and a deep focus on collaboration. Use it on a daily basis ...
Juggling multiple projects The constant chase for grants Late-night committee meetings One-to-one student supervision The relentless search for funding Meticulous peer-review processes Course development and perfecting Administrat...
RNN v.s. Structured Learning,对比二者,见小细节。提到了Deep and structure is future.。 小细节 Example 如上,就算输入都是[1, 1],但也会因为输入的顺序等,结果不同。 如上,并不是训练了三个神经网络,而是在三个时间点进行表现。 Bidirectional RNN ...
Installnvidia-dockerand run $nvidia-docker run -it -p 8888:8888 tensorflow/tensorflow:latest-gpu Go to your browser onhttp://localhost:8888/ Other versions (like release candidates, nightlies and more) See the list oftags. Devel docker images include all the necessary dependencies to build from...
【李宏毅2020 ML/DL】P24 Semi-supervised 本节对应笔记:http://htmlpreview.github.io/?https://github.com/Sakura-gh/ML-notes/blob/master/ML-notes-html/15_Semi-supervised-Learning.html 本节内容综述 介绍,见小细节。包括什么是半监督学习?其分类?为什么做这个?如何起到作用?
Christopher M.Bishop. Pattern Recognition and Machine Learning. Springer-Verlag. 2006 二、预测方向 1、ML预测类参考文章 1. sklearn documentation for RandomForestRegressor, http:///stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html ...