Andere Kunden interessierten sich auch für
![AI as a Service: Serverless Machine Learning with Aws]( "AI as a Service: Serverless Machine Learning with Aws")
AI as a Service: Serverless Machine Learning with Aws54,99 €![Natural Language Processing with Python and spaCy]( "Natural Language Processing with Python and spaCy")
Natural Language Processing with Python and spaCy27,99 €![Natural Language Processing in the Real World]( "Natural Language Processing in the Real World")
Natural Language Processing in the Real World81,99 €![Practical Deep Learning]( "Practical Deep Learning")
Practical Deep Learning41,99 €![Deep Learning]( "Deep Learning")
Deep Learning97,99 €![Machine Learning and Deep Learning in Natural Language Processing]( "Machine Learning and Deep Learning in Natural Language Processing")
Machine Learning and Deep Learning in Natural Language Processing120,99 €![Understanding Deep Learning]( "Understanding Deep Learning")
Understanding Deep Learning93,00 €
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.
Key features
An overview of NLP and deep learning
- Models for textual similarity
- Deep memory-based NLP
- Semantic role labeling
- Sequential NLP
Audience
For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required.
About the technology
Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning
Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He's the technical coordinator of two large European Union-funded research security-related projects. He's currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Key features
An overview of NLP and deep learning
- Models for textual similarity
- Deep memory-based NLP
- Semantic role labeling
- Sequential NLP
Audience
For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required.
About the technology
Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning
Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He's the technical coordinator of two large European Union-funded research security-related projects. He's currently anticipating an endowed professorship in deep learning and NLP at a major Dutch university.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.