"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. Researchers Delip Rao and Brian McMahan provide you with a solid grounding in NLP and deep learning algorithms. They also 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."--Page 4 de la couverture.;Introduction -- A quick tour of traditional NLP -- Foundational components of neural networks -- Feed-forward networks for natural language processing -- Embedding words and types -- Sequence modeling for natural language processing -- Intermediate sequence modeling for natural language processing -- Advanced sequence modeling for natural language processing -- Classics, frontiers, and next steps.