|
|
|
|
| LEADER |
02202nmm a2200325 u 4500 |
| 001 |
EB001916892 |
| 003 |
EBX01000000000000001079794 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
210123 ||| eng |
| 050 |
|
4 |
|a QA76.9.N38
|
| 100 |
1 |
|
|a Krohn, Jon
|
| 245 |
0 |
0 |
|a Deep learning for natural language processing
|b applications of deep neural networks to machine learning tasks
|c Jon Krohn
|
| 260 |
|
|
|a [Place of publication not identified]
|b Addison-Wesley Professional
|c 2017
|
| 300 |
|
|
|a 1 streaming video file (5 hr., 26 min., 25 sec.)
|
| 653 |
|
|
|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
|
| 653 |
|
|
|a Natural Language Processing
|
| 653 |
|
|
|a Natural language processing (Computer science) / fast / (OCoLC)fst01034365
|
| 653 |
|
|
|a Apprentissage automatique
|
| 653 |
|
|
|a Traitement automatique des langues naturelles
|
| 653 |
|
|
|a Natural language processing (Computer science) / http://id.loc.gov/authorities/subjects/sh88002425
|
| 653 |
|
|
|a Machine learning / fast / (OCoLC)fst01004795
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b OREILLY
|a O'Reilly
|
| 490 |
0 |
|
|a LiveLessons
|
| 500 |
|
|
|a Title from resource description page (Safari, viewed December 4, 2017)
|
| 856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/9780134851921/?ar
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 500
|
| 082 |
0 |
|
|a 000
|
| 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
|