Deep Learning for Natural Language Processing (MEAP V07)
Stephan Raaijmakers
Manning Early Access Program (MEAP) Version 07
chapters 1 to 8
Deep Learning for Natural Language Processing teaches you to apply state-of-the-art deep learning approaches to natural language processing tasks. You’ll learn key NLP concepts like neural word embeddings, auto-encoders, part-of-speech tagging, parsing, and semantic inference. Then you’ll dive deeper into advanced topics including deep memory-based NLP, linguistic structure, and hyperparameters for deep NLP. Along the way, you’ll pick up emerging best practices and gain hands-on experience with a myriad of examples, all written in Python and the powerful Keras library. By the time you’re done reading this invaluable book, you’ll be solving a wide variety of NLP problems with cutting-edge deep learning techniques!
chapters 1 to 8
Deep Learning for Natural Language Processing teaches you to apply state-of-the-art deep learning approaches to natural language processing tasks. You’ll learn key NLP concepts like neural word embeddings, auto-encoders, part-of-speech tagging, parsing, and semantic inference. Then you’ll dive deeper into advanced topics including deep memory-based NLP, linguistic structure, and hyperparameters for deep NLP. Along the way, you’ll pick up emerging best practices and gain hands-on experience with a myriad of examples, all written in Python and the powerful Keras library. By the time you’re done reading this invaluable book, you’ll be solving a wide variety of NLP problems with cutting-edge deep learning techniques!
หมวดหมู่:
ปี:
2020
ฉบับพิมพ์ครั้งที่:
MEAP
สำนักพิมพ์:
Manning Publications
ภาษา:
english
จำนวนหน้า:
266
ISBN 10:
1617295442
ISBN 13:
9781617295447
ไฟล์:
PDF, 10.25 MB
IPFS:
,
english, 2020
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