Neural Network & NLP Implementation

Java SE 8
  • 11 Videos | 1h 1m 17s
  • Includes Assessment
  • Earns a Badge
Likes 8 Likes 8
Discover how to implement advanced neural network using DL4j and explore the concept of NLP and its implementation using OpenNLP Java library.

WHAT YOU WILL LEARN

  • 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
    illustrate how to use NLP components

IN THIS COURSE

  • Playable
    1. 
    Multilayer Networks and Computation Graphs
    6m 18s
    UP NEXT
  • Playable
    2. 
    Implementing Multilayer Networks
    6m 25s
  • Locked
    3. 
    NLP Introduction
    4m 40s
  • Locked
    4. 
    Components of NLP
    4m 3s
  • Locked
    5. 
    Language and Sentence
    6m 42s
  • Locked
    6. 
    Tokenizer and Name Finder
    6m 4s
  • Locked
    7. 
    Detecting Parts of Speech
    6m 57s
  • Locked
    8. 
    Classifying Text and Documents
    3m 50s
  • Locked
    9. 
    Using Parser to Extract Relationships
    4m 26s
  • Locked
    10. 
    Speech Implementation
    4m 5s
  • Locked
    11. 
    Exercise: Working with NLP Components
    2m 46s

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