Course details

Fundamentals of Sequence Model: Language Model & Modeling Algorithms

Fundamentals of Sequence Model: Language Model & Modeling Algorithms


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Explore the concepts of language modeling, natural language processing (NLP), and sequence generation for NLP. Prominent modeling algorithms like vanishing gradient problem, GRU, and LSTM network are also covered.



Expected Duration (hours)
0.3

Lesson Objectives

Fundamentals of Sequence Model: Language Model & Modeling Algorithms

  • Course Overview
  • describe language models and how to implement natural language processing (NLP) and its components
  • generate sequences for natural language processing (NLP)
  • describe vanishing gradient problem implementation approaches
  • list features and characteristics of gated recurrent units (GRUs)
  • recognize the problems and drawbacks of implementing short-term memory and LSTM as modeling solutions
  • list characteristics of language modeling, vanishing gradient problems, and LSTM
  • Course Number:
    it_mlfnsmdj_02_enus

    Expertise Level
    Intermediate