|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/semantic-search-engine-using-sentence-bert/
课程评论：没有评论
课程名称：使用句子BERT构建语义搜索引擎 课程概述：本课程旨在教您如何使用句子BERT构建语义搜索引擎，特别适合初学者。课程涵盖了语义搜索的基础知识，包括从零开始学习词嵌入、理解BERT在句子处理中的局限性，以及如何利用句子BERT找到相似的新闻标题。此外，您将学习如何使用句子BERT嵌入将文本表示为数值向量，并使用Jupyter Notebook进行编程，最终构建一个实际的语义搜索Web应用程序。 课程的内容和目标包括： - 理解语义搜索及其重要性 - 学习词嵌入的概念，包括BERT、GloVe和SBERT - 分步构建 Jupyter Notebook，使用BERT实现语义搜索 - 创建一个实际的Web应用程序来查找相似的新闻标题 通过本课程，您将获得： - 学习语义搜索并从专业培训师那里搭建相似度搜索引擎 - 包含超过10节讲座，教您如何构建相似度搜索引擎 - 适合初学者程序员，并提供可视化的培训方法以提高学习效果 - 将复杂的应用程序分解为简单的步骤，并提供挑战和解决方案以帮助学生巩固概念 随着语义搜索的日益流行，掌握这些技能将使您在自然语言处理（NLP）领域中具备竞争优势，成为一名需求量大的开发者。
Course DescriptionLearn to build semantic search engine detection engine with sentence BERTBuild a strong foundation in Semantic Search with this tutorial for beginners.Understanding of semantic search Learn word embeddings from scratchLearn limitation of BERT for sentencesLeverage sentence BERT for finding similar news headlinesLearn how to represent text as numeric vectors using sentence BERT embeddingsUser Jupyter Notebook for programmingBuild a real life web application or semantic searchA Powerful Skill at Your Fingertips Learning the fundamentals of semantic search puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.No prior knowledge of word embedding or BERT is assumed. I'll be covering topics like Word Embeddings , BERT , Glove, SBERT from scratch. Jobs in semantic search systems area are plentiful, and being able to learn it with BERT will give you a strong edge. BERT is state of art language model and surpasses all prior techniques in natural language processing. Semantic search is becoming very popular. Google, Yahoo, Bing and Youtube are few famous example of semantic search systems in action. Semantic search engines are vital in information retrieval. Learning semantic search with SBERT will help you become a natural language processing (NLP) developer which is in high demand.Content and Overview This course teaches you on how to build semantic search engine using open source Python and Jupyter framework. You will work along with me step by step to build following answersIntroduction to semantic searchIntroduction to Word EmbeddingsBuild an jupyter notebook step by step using BERT Build a real world web application to find similar news headlinesWhat am I going to get from this course?Learn semantic search and build similarity search engine from professional trainer from your own desk.Over 10 lectures teaching you how to build similarity search engineSuitable for beginner programmers and ideal for users who learn faster when shown.Visual training method, offering users increased retention and accelerated learning.Breaks even the most complex applications down into simplistic steps.Offers challenges to students to enable reinforcement of concepts. Also solutions are described to validate the challenges.
