Natural Language Processing with PyTorch

Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning  



 By Delip Rao, Brian McMahan



Published by O'Reilly Media in 2019



English, 256 pages



nonfiction, python (programming), neuro-linguistic programming , computer technology, pytorch



EPUB, 11.92 MB, 1 file(s)    



 

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