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?深度学习这一概念很早就存在了...
Artificial Neural Networks and Machine Learning – ICANN 2016, Part II, Lecture Notes in Computer Science, Springer-Verlag, 9887:63-71, 2016 [preprint,bibtex] PJ Kindermans, KT Schütt, M Alber, KR Müller, D Erhan, B Kim, S Dähne.Learning how to explain neural networks: PatternNet and...
《An Introduction to Deep Learning: From Perceptrons to Deep Networks》 介绍:深度学习概述:从感知机到深度网络,作者对于例子的选择、理论的介绍都很到位,由浅入深。翻译版本: 《The LION Way: Machine Learning plus Intelligent Optimization》介绍:<机器学习与优化>这是一本机器学习的小册子, 短短300多页道尽...
《Choosing a Machine Learning Classifier》 介绍:我该如何选择机器学习算法,这篇文章比较直观的比较了Naive Bayes,Logistic Regression,SVM,决策树等方法的优劣,另外讨论了样本大小、Feature与Model权衡等问题。此外还有已经翻译了的版本:http://www.52ml.net/15063.html 《An Introduction to Deep Learning: From ...
《Faster deep learning with GPUs and Theano》 介绍:基于Theano/GPU的高效深度学习. 《Introduction to R Programming》 介绍:来自微软的<R编程入门>. 《Golang:Web Server For Performing Sentiment Analysis》 介绍:(Go)情感分析API服务Sentiment Server. ...
Final notes Many improvements to deep Q-learning have been proposed since its first introduction – Double Q-learning, Prioritized Experience Replay, Dueling Network Architecture and extension to continuous action space to name...
learning,” in Signal and Information Processing, Networking and Computers, vol. 494 of Lecture Notes in Electrical Engineering, pp. 296–306, Springer, Singapore, 2019. [12] J. Schmidhuber, “Deep learning in neural networks: an overview,” Neural Networks, vol. 61, pp. 85–117, 2015. ...
Introduction Each year, more than half a million patients are diagnosed with cancer and receive radiotherapy either alone or in combination with surgery.1,2 Intensity-modulated radiation therapy has become a key component of contemporary cancer treatment because of reduced treatment-induced toxic effects...
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:...
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...