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Natural Language Processing with PyTorchlow
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Natural Language Processing with PyTorchlow

Natural Language Processing with PyTorchlow

Delip Rao

250 pages, parution le 30/12/2018

Résumé

With this practical book, developers and data scientists will learn how to implement recently discovered NLP techniques with the open source software library TensorFlow.Natural language processing (NLP) provides unbounded opportunities for solving interesting problems in artificial intelligence, especially with the availability of flexible deep learning frameworks. With this practical book, developers and data scientists will learn how to implement recently discovered NLP techniques with the open source software library TensorFlow. After providing you with a solid grounding in TensorFlow, you'll learn deep learning algorithms for building applications involving semantic representation of texts via embeddings, sequence modeling using RNNs, LSTMs, and GRUs, and sequence-to-sequence modeling for applications such as Question Answering, Summarization, and Machine Translation. If you have some background in machine learning, this book will help you explore the intersection of NLP and practical aspects of deep learning.Delip Rao is a machine learning and natural language processing researcher focused on building AI solutions for consumers and businesses. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more, and has published several highly cited papers in these areas.

Caractéristiques techniques

  PAPIER
Éditeur(s) O'Reilly
Auteur(s) Delip Rao
Parution 30/12/2018
Nb. de pages 250
EAN13 9781491978238

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