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
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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
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1.Multilayer Networks and Computation Graphs6m 18sUP NEXT
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2.Implementing Multilayer Networks6m 25s
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3.NLP Introduction4m 40s
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4.Components of NLP4m 3s
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5.Language and Sentence6m 42s
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6.Tokenizer and Name Finder6m 4s
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7.Detecting Parts of Speech6m 57s
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8.Classifying Text and Documents3m 50s
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9.Using Parser to Extract Relationships4m 26s
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10.Speech Implementation4m 5s
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11.Exercise: Working with NLP Components2m 46s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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