Lecture 1: Introduction and Logistics 课程的目标 本课程的目标是学习现代深度学习系统,了解包括自动微分、神经网络架构、优化以及GPU上的高效操作在内的技术的底层原理。作为实践,本课程将实现一个 needle(deep learning library)库,类似PyTorch。 为什么学习深度学习系统? 为什么学习?深度学
Paugam-Moisy, "An introduction to deep learning," ESANN, 2011.An introduction to deep learning (invited tutorial). Hollensen, Paul,Trappenberg, Thomas P. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) . 2015...
课程的作业其实是不公开的,但是2018年的版本Youtube有课程视频,Github上也有课程作业分享,所以我推荐看2018年的Lecture Notes和作业。 An introduction to Statistical Learning 大名鼎鼎的ESL(Elements of Statistical Learning, Data mining)的简化版,又称ISL。 选择这本书主要是因为CS229 18 年的课没有讲Tree相关的...
Here’s the course website, where you can find extra resources — GitHub notes, Jupyter notebooks, the works! The prerequisite for this course is DS-GA 1001 Intro to Data Science or a graduate-level machine learning course. What you’ll learn: This course has 8 themes: Introduction, ...
涵盖了deep learning里各种tricks,引用非常全面. 《A Gentle Introduction to Scikit-Learn: A Python Machine Learning Library》 介绍:这是一份python机器学习库,如果您是一位python工程师而且想深入的学习机器学习.那么这篇文章或许能够帮助到你. 《How to Layout and Manage Your Machine Learning Project》 介绍:...
Deep learning Ensemble regression Robust loss functions 1. Introduction For centuries philosophers, artists, and scientists have tried to discover the mystery of beauty [1]. In fact, the beauty of the face is gaining more and more interest due to the rapid development of plastic surgery and cosm...
The purpose of this study is to identify additional clinical features for sepsis detection through the use of a novel mechanism for interpreting black-box machine learning models trained and to provide a suitable evaluation for the mechanism. We use the
Lecture 24 - Machine Learning Compilation and Deployment ImplementationNotesLecture 1 - Introduction and LogisticsTODO Lecture 2 - ML Refresher / Softmax RegressionTODO Lecture 3 (Part I) - "Manual" Neural NetworksThe main point of using multi-layer Neural Networks is to automate feature construction...
《Semi-Supervised Learning》 介绍:半监督学习,Chapelle.篇篇都是经典,作者包括Vapnik,Bengio,Lafferty,Jordan.此外推荐Xiaojin (Jerry) Zhu编写的Introduction to Semi-Supervised Learning. 介绍:Spark机器学习入门实例——大数据集(30+g)二分类. 《Free Resources for Beginners on Deep Learning and Neural Network...
介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本《神经网络与深度学习综述》本综述的特点是以时间排序,从1940年开始讲起,到60-80年代,80-90年代,一直讲到2000年后及最近几年的进展。涵盖了deep learning里各种tricks,引用非常全面. 《A Gentle Introduction to Scikit-Learn: A Python Machine Learning ...