Amazon cover image
Image from Amazon.com

Getting Started with Deep Learning for Natural Language Processing : learn how to build NLP applications with Deep Learning / Sunil Patel.

By: Material type: TextTextPublisher: New Delhi : BPB Publications, 2021Edition: First editionDescription: 382 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789389898118
Subject(s): DDC classification:
  • 23 006.31 P.S.G
Contents:
1. Understanding the basics of learning process -- 2. Text processing techniques -- 3. Representing language mathematically -- 4. Using RNN for NLP -- 5. Applying CNN in NLP tasks -- 6. Accelerating NLP with advanced embeddings -- 7. Applying deep learning to NLP tasks -- 8. Application of complex architectures in NLP -- 9. Understanding generative networks -- 10. Techniques of speech processing -- 11. The road ahead.
Summary: Covers foundational and advanced deep learning techniques applied to Natural Language Processing (NLP) using Python and PyTorch. Includes preprocessing, CNNs, RNNs, Transformers, GANs, speech processing, and practical applications in topic modeling, text generation, and more.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library C1 006.31 P.S.G C.1 Available MA0002417
Total holds: 0

Includes index.

1. Understanding the basics of learning process -- 2. Text processing techniques -- 3. Representing language mathematically -- 4. Using RNN for NLP -- 5. Applying CNN in NLP tasks -- 6. Accelerating NLP with advanced embeddings -- 7. Applying deep learning to NLP tasks -- 8. Application of complex architectures in NLP -- 9. Understanding generative networks -- 10. Techniques of speech processing -- 11. The road ahead.

Covers foundational and advanced deep learning techniques applied to Natural Language Processing (NLP) using Python and PyTorch. Includes preprocessing, CNNs, RNNs, Transformers, GANs, speech processing, and practical applications in topic modeling, text generation, and more.

There are no comments on this title.

to post a comment.