NLP Fundamentals: Core Concepts and Architectures

Master the essential concepts of Natural Language Processing, from text preprocessing to transformer architectures. This course provides a solid foundation in NLP theory and core techniques without diving into production complexities.

课程数据表v2.1

课时11

总时长9时 15分

难度中级

分类自然语言处理

类型免费

更新于2025-11-25

语言EN · RU · ZH

§A · 目标

您将能够做什么。

01.Understand text preprocessing and tokenization fundamentals

02.Learn traditional and modern word embedding approaches

03.Master the transformer architecture and attention mechanisms

04.Explore the evolution from RNNs to modern language models

05.Implement basic text generation techniques

06.Apply NLP to common tasks like classification and named entity recognition

§B · 大纲

所有课程。按顺序阅读，或跳转。

№课程类型时间

01Introduction to Text Preprocessing概念· 45 min45 min→02Advanced Tokenization Techniques概念· 60 min60 min→03Word Embeddings: From Word2Vec to FastText概念· 60 min60 min→04Contextual Embeddings and Modern Representations概念· 60 min60 min→05Pre-Transformer Models: RNN, LSTM, and GRU概念· 60 min60 min→06Transformer Architecture Deep Dive概念· 90 min90 min→07Text Generation: Deterministic Methods概念· 30 min30 min→08Text Generation: Probabilistic Sampling概念· 35 min35 min→09Evolution of Transformer Models: From BERT to GPT-4概念· 40 min40 min→10Modern Language Models: Understanding the Landscape概念· 30 min30 min→11Essential NLP Tasks and Applications概念· 45 min45 min→