This course covers a wide range of tasks in Natural Language Processing from basic to advanced: sentiment analysis, summarization, dialogue state tracking, to name a few. Upon completing, you will be able to recognize NLP tasks in your day-to-day work, propose approaches, and judge what techn...
In Course 4 of the Natural Language Processing Specialization, offered by DeepLearning.AI, you will: a) Translate complete English sentences into German using an encoder-decoder attention model, b) Build a Transformer model to summarize text, ...
Natural Language Processing 开始时间: 04/22/2022 持续时间: 10 weeks 所在平台:CourseraArchive 课程类别:计算机科学 大学或机构:Columbia University(哥伦比亚大学) 授课老师:Michael Collins 课程主页:https://www.coursera.org/course/nlangp 课程评论: 7 个评论...
Natural Language Processing 开始时间: 04/22/2022 持续时间: Unknown 所在平台:CourseraArchive 课程类别:计算机科学 大学或机构:Stanford University(斯坦福大学) 授课老师:Dan JurafskyChristopher Manning 课程主页:https://www.coursera.org/course/nlp 课程评论: 3 个评论...
本周你会看到我们如何把这些知识用到NLP上,用于自然语言处理,深度学习已经给这一领域带来了革命性的变革。其中一个很关键的概念就是词嵌入(word embeddings),这是语言表示的一种方式,可以让算法自动的理解一些类似的词,比如男人对女人,比如国王对王后,还有其他很多的例子。通过词嵌入的概念你就可以构建NLP应用了,...
This github contains practical assignments for Natural Language Processing course by Higher School of Economics: https://www.coursera.org/learn/language-processing. In this course you will learn how to solve common NLP problems using classical and deep learning approaches. From a practical side, we...
This github contains practical assignments for Natural Language Processing course by Higher School of Economics: https://www.coursera.org/learn/language-processing. In this course you will learn how to solve common NLP problems using classical and deep learning approaches.From...
代码见GitHub:https://github.com/Bloodline-2000/Natural-Language-Processing-Specialization 仅供学习参考,请勿抄袭 推导过程中可能需要的Matrix Cookbook: https://www.math.uwaterloo.ca/~hwolkowi/matrixcookbook.pdf 笔记后续可能会考虑更新在GitHub上..
Coursera, Deep Learning 5, Sequence Models, week2, Natural Language Processing & Word Embeddings Word embeding 给word 加feature,用来区分word 之间的不同,或者识别word之间的相似性. 用于学习 Embeding matrix E 的数据集非常大,比如 1B - 100B 的word corpos. 所以即使你输入的是没见过的 durian cut...
斯坦福大学深度学习课程课程讲义(中):CS224d Deep Learning for Natural Language Processing(中) 斯坦福大学深度学习课程课程讲义(下):CS224d Deep Learning for Natural Language Processing(下) (特别感谢以上各位朋友为CS224d课程做出的贡献!) 其他课程整理: ...