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

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

Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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)
1.0

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

illustrate how to use NLP components

Course Number:
it_sdjaai_04_enus

Expertise Level
Intermediate