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Deep Learning for Natural Language Processing
Stephan Raaijmakers你有多喜欢这本书?
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Humans do a great job of reading text, identifying key ideas,
summarizing, making connections, and other tasks that require
comprehension and context. Recent advances in deep learning make it
possible for computer systems to achieve similar results. Deep Learning
for Natural Language Processing teaches you to apply deep learning
methods to natural language processing (NLP) to interpret and use text
effectively. In this insightful book, NLP expert Stephan Raaijmakers
distills his extensive knowledge of the latest state-of-the-art
developments in this rapidly emerging field.
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including:
• An overview of NLP and deep learning
• One-hot text representations
• Word embeddings
• Models for textual similarity
• Sequential NLP
• Semantic role labeling
• Deep memory-based NLP
• Linguistic structure
• Hyperparameters for deep NLP
summarizing, making connections, and other tasks that require
comprehension and context. Recent advances in deep learning make it
possible for computer systems to achieve similar results. Deep Learning
for Natural Language Processing teaches you to apply deep learning
methods to natural language processing (NLP) to interpret and use text
effectively. In this insightful book, NLP expert Stephan Raaijmakers
distills his extensive knowledge of the latest state-of-the-art
developments in this rapidly emerging field.
Explore the most challenging issues of natural language processing, and learn how to solve them with cutting-edge deep learning!Inside Deep Learning for Natural Language Processing you’ll find a wealth of NLP insights, including:
• An overview of NLP and deep learning
• One-hot text representations
• Word embeddings
• Models for textual similarity
• Sequential NLP
• Semantic role labeling
• Deep memory-based NLP
• Linguistic structure
• Hyperparameters for deep NLP
年:
2022
出版社:
Manning Publications
语言:
english
页:
296
ISBN 10:
1617295442
ISBN 13:
9781617295447
文件:
PDF, 8.49 MB
您的标签:
IPFS:
CID , CID Blake2b
english, 2022
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