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  ▼a  1838553673

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  ▼a  9781838553678
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  ▼a  2159932
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  ▼a  (OCoLC)1107580393
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  ▼a  9781838553678
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  ▼a  9BD5685A-365D-4013-9C82-4F86557B527A
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  ▼a  QA76.9.N38
  ▼b  .B655 2019

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  ▼a  Reddy Bokka, Karthiek.

• 245

  ▼a  Deep Learning for Natural Language Processing:
  ▼b  Solve Your Natural Language Processing Problems with Smart Deep Neural Networks.

• 260

  ▼a  Birmingham:
  ▼b  Packt Publishing, Limited,
  ▼c  2019.

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  ▼a  1 online resource (372 pages).

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  ▼a  text
  ▼b  txt
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  ▼a  computer
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  ▼a  online resource
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  ▼2  rdacarrier

• 500

  ▼a  Exercise 22: Application of a Simple CNN to a Reuters News Topic for Classification

• 505

  ▼a  Intro; Preface; Introduction to Natural Language Processing; Introduction; The Basics of Natural Language Processing; Importance of natural language processing; Capabilities of Natural language processing; Applications of Natural Language Processing; Text Preprocessing; Text Preprocessing Techniques; Lowercasing/Uppercasing; Exercise 1: Performing Lowercasing on a Sentence; Noise Removal; Exercise 2: Removing Noise from Words; Text Normalization; Stemming; Exercise 3: Performing Stemming on Words; Lemmatization; Exercise 4: Performing Lemmatization on Words; Tokenization

• 505

  ▼a  Exercise 5: Tokenizing WordsExercise 6: Tokenizing Sentences; Additional Techniques; Exercise 7: Removing Stop Words; Word Embeddings; The Generation of Word Embeddings; Word2Vec; Functioning of Word2Vec; Exercise 8: Generating Word Embeddings Using Word2Vec; GloVe; Exercise 9: Generating Word Embeddings Using GloVe; Activity 1: Generating Word Embeddings from a Corpus Using Word2Vec.; Summary; Applications of Natural Language Processing; Introduction; POS Tagging; Parts of Speech; POS Tagger; Applications of Parts of Speech Tagging; Types of POS Taggers; Rule-Based POS Taggers

• 505

  ▼a  Exercise 10: Performing Rule-Based POS TaggingStochastic POS Taggers; Exercise 11: Performing Stochastic POS Tagging; Chunking; Exercise 12: Performing Chunking with NLTK; Exercise 13: Performing Chunking with spaCy; Chinking; Exercise 14: Performing Chinking; Activity 2: Building and Training Your Own POS Tagger; Named Entity Recognition; Named Entities; Named Entity Recognizers; Applications of Named Entity Recognition; Types of Named Entity Recognizers; Rule-Based NERs; Stochastic NERs; Exercise 15: Perform Named Entity Recognition with NLTK

• 505

  ▼a  Exercise 16: Performing Named Entity Recognition with spaCyActivity 3: Performing NER on a Tagged Corpus; Summary; Introduction to Neural Networks; Introduction; Introduction to Deep Learning; Comparing Machine Learning and Deep Learning; Neural Networks; Neural Network Architecture; The Layers; Nodes; The Edges; Biases; Activation Functions; Training a Neural Network; Calculating Weights; The Loss Function; The Gradient Descent Algorithm; Backpropagation; Designing a Neural Network and Its Applications; Supervised neural networks; Unsupervised neural networks

• 505

  ▼a  Exercise 17: Creating a neural networkFundamentals of Deploying a Model as a Service; Activity 4: Sentiment Analysis of Reviews; Summary; Foundations of Convolutional Neural Network; Introduction; Exercise 18: Finding Out How Computers See Images; Understanding the Architecture of a CNN; Feature Extraction; Convolution; The ReLU Activation Function; Exercise 19: Visualizing ReLU; Pooling; Dropout; Classification in Convolutional Neural Network; Exercise 20: Creating a Simple CNN Architecture; Training a CNN; Exercise 21: Training a CNN; Applying CNNs to Text

• 520

  ▼a  Starting with the basics, this book teaches you how to choose from the various text pre-processing techniques and select the best model from the several neural network architectures for NLP issues.

• 588

  ▼a  Print version record.

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Natural language processing (Computer science)

• 650

  ▼a  Neural networks (Computer science)

• 650

  ▼a  Machine learning.

• 650

  ▼a  Machine learning.
  ▼2  fast
  ▼0  (OCoLC)fst01004795

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  ▼a  Natural language processing (Computer science)
  ▼2  fast
  ▼0  (OCoLC)fst01034365

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  ▼a  Neural networks (Computer science)
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  ▼0  (OCoLC)fst01036260

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  ▼a  Deep learning
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• 650

  ▼a  Natürliche Sprache
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  ▼a  Electronic books.

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  ▼a  Hora, Shubhangi.

• 700

  ▼a  Jain, Tanuj.

• 700

  ▼a  Wambugu, Monicah.

• 776

  ▼i  Print version:
  ▼a  Reddy Bokka, Karthiek.
  ▼t  Deep Learning for Natural Language Processing : Solve Your Natural Language Processing Problems with Smart Deep Neural Networks.
  ▼d  Birmingham : Packt Publishing, Limited, ©2019,
  ▼z  9781838550295

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2159932

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  ▼a  YBP Library Services
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  ▼n  300608063

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  ▼a  EBSCOhost
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