Natural Language Processing (NLP) provides boundless opportunities
for solving problems in artificial intelligence, making products
such as Amazon Alexa and Google Translate possible. If you’re a
developer or data scientist new to NLP and deep learning, this
practical guide shows you how to apply these methods using PyTorch,
a Python-based deep learning library. Authors Delip Rao and Brian
McMahon provide you with a solid grounding in NLP and deep learning
algorithms and demonstrate how to use PyTorch to build applications
involving rich representations of text specific to the problems you
face. Each chapter includes several code examples and
illustrations. Explore computational graphs and the supervised
learning paradigm Master the basics of the PyTorch optimized tensor
manipulation library Get an overview of traditional NLP concepts
and methods Learn the basic ideas involved in building neural
networks Use embeddings to represent words, sentences, documents,
and other features Explore sequence prediction and generate
sequence-to-sequence models Learn design patterns for building
production NLP systems
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
February 2019 |
Authors: |
Delip Rao
• Brian McMahan
|
Dimensions: |
238 x 180 x 13mm (L x W x T) |
Format: |
Paperback
|
Pages: |
256 |
ISBN-13: |
978-1-4919-7823-8 |
Categories: |
Books
|
LSN: |
1-4919-7823-6 |
Barcode: |
9781491978238 |
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