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Neural Network Methods for Natural Language Processing

Unknown Author
4.9/5 (33721 ratings)
Description:Table of Contents:PrefaceAcknowledgmentsIntroductionLearning Basics and Linear ModelsFrom Linear Models to Multi-layer PerceptronsFeed-forward Neural NetworksNeural Network TrainingFeatures for Textual DataCase Studies of NLP FeaturesFrom Textual Features to InputsLanguage ModelingPre-trained Word RepresentationsUsing Word EmbeddingsCase Study: A Feed-forward Architecture for Sentence Meaning InferenceNgram Detectors: Convolutional Neural NetworksRecurrent Neural Networks: Modeling Sequences and StacksConcrete Recurrent Neural Network ArchitecturesModeling with Recurrent NetworksConditioned GenerationModeling Trees with Recursive Neural NetworksStructured Output PredictionCascaded, Multi-task and Semi-supervised LearningConclusionBibliographyAuthor's BiographyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Neural Network Methods for Natural Language Processing. To get started finding Neural Network Methods for Natural Language Processing, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
309
Format
PDF, EPUB & Kindle Edition
Publisher
Morgan & Claypool
Release
2017
ISBN
162705295X

Neural Network Methods for Natural Language Processing

Unknown Author
4.4/5 (1290744 ratings)
Description: Table of Contents:PrefaceAcknowledgmentsIntroductionLearning Basics and Linear ModelsFrom Linear Models to Multi-layer PerceptronsFeed-forward Neural NetworksNeural Network TrainingFeatures for Textual DataCase Studies of NLP FeaturesFrom Textual Features to InputsLanguage ModelingPre-trained Word RepresentationsUsing Word EmbeddingsCase Study: A Feed-forward Architecture for Sentence Meaning InferenceNgram Detectors: Convolutional Neural NetworksRecurrent Neural Networks: Modeling Sequences and StacksConcrete Recurrent Neural Network ArchitecturesModeling with Recurrent NetworksConditioned GenerationModeling Trees with Recursive Neural NetworksStructured Output PredictionCascaded, Multi-task and Semi-supervised LearningConclusionBibliographyAuthor's BiographyWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Neural Network Methods for Natural Language Processing. To get started finding Neural Network Methods for Natural Language Processing, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
309
Format
PDF, EPUB & Kindle Edition
Publisher
Morgan & Claypool
Release
2017
ISBN
162705295X
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