Neural Network & NLP Implementation

Java SE 8    |    Intermediate
  • 11 videos | 56m 17s
  • Includes Assessment
  • Earns a Badge
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

  • 6m 18s
    After completing this video, you will be able to describe the essential features of multilayer networks and computation graphs. FREE ACCESS
  • 6m 25s
    Upon completion of this video, you will be able to describe how to use multilayer networks and computation graphs. FREE ACCESS
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    3.  NLP Introduction
    4m 40s
    After completing this video, you will be able to specify the essential features and important components of natural language processing. FREE ACCESS
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    4.  Components of NLP
    4m 3s
    Upon completion of this video, you will be able to list the important components of NLP and their roles and usages. FREE ACCESS
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    5.  Language and Sentence
    6m 42s
    Learn how to implement a language and sentence detector. FREE ACCESS
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    6.  Tokenizer and Name Finder
    6m 4s
    After completing this video, you will be able to describe the use of Tokenizer and Name Finder in NLP. FREE ACCESS
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    7.  Detecting Parts of Speech
    6m 57s
    After completing this video, you will be able to describe how to detect parts of speech and assign tags to the words and sentences. FREE ACCESS
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    8.  Classifying Text and Documents
    3m 50s
    In this video, you will learn how to classify text and documents using the NLP model. FREE ACCESS
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    9.  Using Parser to Extract Relationships
    4m 26s
    In this video, find out how to illustrate the relationships, extraction, and dependencies using the parser API. FREE ACCESS
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    10.  Speech Implementation
    4m 5s
    In this video, you will learn how to implement a recognizer, synthesizer, and translator using Java. FREE ACCESS
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    11.  Exercise: Working with NLP Components
    2m 46s
    Upon completion of this video, you will be able to illustrate how to use NLP components. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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