domain adaptation(域适配)是一个连接机器学习(machine learning)与迁移学习(transfer learning)的新领域.这一问题的提出在于从原始问题(对应一个 source data distribution)学习到的模型能够很好地适应一个与之相不同的目标问题(对应一个 target data distribution).比如垃圾邮件过滤问题(spam filtering problems). 1. 数学描述 X:input space(description…
The Neural Network is one of the most powerful learning algorithms (when a linear classifier doesn't work, this is what I usually turn to), and this week's videos explain the 'backprogagation' algorithm for training these models. In this week's progr…
用深度学习的跨情感分类的迁移学习 情感分析主要用于预测人们在自然语言中表达的思想和情感. 摘要部分:two types of sentiment:sentiment polarity and politeness. 语义极性和politeness (礼貌用语) 数据集:在线资源数据库 训练源领域和目标领域的混合数据导致性能极大的提升. Transfer learning methods could be very useful in performing predictiond inpecial…
目录 什么是主动学习? 主动学习 vs. 被动学习 为什么需要主动学习? 主动学习与监督学习.弱监督学习.半监督学习.无监督学习之间的关系 主动学习的种类 主动学习的一个例子 主动学习工具包 ALiPy References 本文将简单介绍什么是主动学习(Active Learning,AL),为什么需要主动学习,主动学习和监督学习.弱监督学习.半监督学习.无监督学习之间是什么关系.最后再简单介绍主动学习的分类.(这里介绍的主动学习是机器学习的一个子领域.) 什么是主动学习? 主动学习(Acti…
主要原理: 和Siamese Neural Networks一样,将分类问题转换成两个输入的相似性问题. 和Siamese Neural Networks不同的是: Relation Network中branch的输出和relation classifier的输入是feature map 而Siamese中branch的输出和classifier的输入是feature vector 其中: g-表示关系深度网络 C-表示concatenate f-表示特征提取网络(branch) xi,xj-…
Chapter 1. Points and Lines (已看) Chapter 2. Geometry Snippets (已看) Chapter 3. Trigonometry Snippets (已看) Chapter 4. Vector Operations (已看) Chapter 5. Matrix Operations (已看) Chapter 6. Transformations (已看) Chapter 7. Unit Convensions (已看) Chapter 8. M…
https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…
What's the most effective way to get started with deep learning?       29 Answers     Yoshua Bengio, My lab has been one of the three that started the deep learning approach, back in 2006, along with Hinton's... Answered Jan 20, 2016   Originally Ans…
About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been…
About this Course If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "s…