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Deep learning for natural language processing : applications of deep neural networks to machine learning tasks /
"An intuitive introduction to processing natural language data with Deep Learning models Deep Learning for Natural Language Processing LiveLessons is an introduction to processing natural language with Deep Learning. These lessons bring intuitive explanations of essential theory to life with in...
| Clasificación: | Libro Electrónico |
|---|---|
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Addison-Wesley Professional,
2017.
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| Colección: | LiveLessons.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
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| 007 | vz czazuu | ||
| 008 | 171207s2017 xx 327 o vleng d | ||
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| 035 | |a (OCoLC)1014122807 | ||
| 037 | |a CL0500000919 |b Safari Books Online | ||
| 050 | 4 | |a QA76.9.N38 | |
| 049 | |a UAMI | ||
| 100 | 1 | |a Krohn, Jon, |e on-screen presenter. | |
| 245 | 1 | 0 | |a Deep learning for natural language processing : |b applications of deep neural networks to machine learning tasks / |c Jon Krohn. |
| 264 | 1 | |a [Place of publication not identified] : |b Addison-Wesley Professional, |c 2017. | |
| 300 | |a 1 online resource (1 streaming video file (5 hr., 26 min., 25 sec.)) | ||
| 336 | |a two-dimensional moving image |b tdi |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 337 | |a video |b v |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a LiveLessons | |
| 500 | |a Title from resource description page (Safari, viewed December 4, 2017). | ||
| 511 | 0 | |a Presenter, Jon Krohn. | |
| 520 | |a "An intuitive introduction to processing natural language data with Deep Learning models Deep Learning for Natural Language Processing LiveLessons is an introduction to processing natural language with Deep Learning. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library. In the early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In the later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data."--Resource description page | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast |0 (OCoLC)fst01034365 | |
| 655 | 4 | |a Electronic videos. | |
| 830 | 0 | |a LiveLessons. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/videos/~/9780134851921/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||