Developing AI and ML Solutions with Java: Neural Network and NLP Implementation


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Discover how to implement advanced neural network using DL4j and explore the concept of NLP and its implementation using OpenNLP Java library.



Expected Duration (hours)
0.9

Lesson Objectives

Developing AI and ML Solutions with Java: Neural Network and NLP Implementation

  • describe the essential features of multilayer networks and computation graphs
  • describe how to use multilayer networks and computation graphs
  • specify the essential features and important components of NLP
  • list the important components of NLP along with their roles and usages
  • implement language and sentence detector
  • describe the utilization of Tokenizer and Name Finder in NLP
  • describe how to detect parts of speech to assign tags to the words and sentences
  • classify text and documents using the NLP model
  • Illustrate the relationships, extraction and dependencies using parser API
  • implement recognizer, synthesizer and translator using Java
  • Course Number:
    it_sdjaai_04_enus

    Expertise Level
    Intermediate