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Deep learning for natural language processing : creating neural networks with Python /
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You'll start by covering the mathematical prerequisites and...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Apress,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1046057470 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr unu|||||||| | ||
| 008 | 180725s2018 xx a o 000 0 eng d | ||
| 040 | |a UMI |b eng |e rda |e pn |c UMI |d STF |d TOH |d OCLCF |d DEBBG |d CEF |d G3B |d S9I |d UAB |d OCLCQ |d AAA |d OCLCO |d OCLCQ | ||
| 029 | 1 | |a GBVCP |b 1029873100 | |
| 035 | |a (OCoLC)1046057470 | ||
| 037 | |a CL0500000981 |b Safari Books Online | ||
| 050 | 4 | |a QA76.73.P98 | |
| 082 | 0 | 4 | |a 006.3/5 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Goyal, Palash, |e author. | |
| 245 | 1 | 0 | |a Deep learning for natural language processing : |b creating neural networks with Python / |c Palash Goyal, Sumit Pandey, Karan Jain. |
| 246 | 3 | 0 | |a Creating neural networks with Python |
| 264 | 1 | |a [Place of publication not identified] : |b Apress, |c [2018] | |
| 264 | 2 | |a New York : |b Distributed to the Book trade worldwide by Springer Science+Business Media New York, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 588 | 0 | |a Online resource; title from cover (Safari, viewed July 24, 2018). | |
| 505 | 0 | |a Introduction -- Chapter 1: Introduction to NLP and Deep Learning -- Chapter 2: Word Vector representations -- Chapter 3: Unfolding Recurrent Neural Networks -- Chapter 4: Developing a Chatbot -- Chapter 5: Research Paper Implementation: Sentiment Classification. | |
| 520 | |a Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You'll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. You will: Gain the fundamentals of deep learning and its mathematical prerequisites. Discover deep learning frameworks in Python. Develop a chatbot. Implement a research paper on sentiment classification.--Provided by publisher. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 2 | |a Natural Language Processing | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a COMPUTERS / Programming Languages / Python. |2 bisacsh | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast |0 (OCoLC)fst01034365 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 650 | 7 | |a Python (Computer program language) |2 fast |0 (OCoLC)fst01084736 | |
| 700 | 1 | |a Pandey, Sumit, |e author. | |
| 700 | 1 | |a Jain, Karan, |e author. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484236857/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 994 | |a 92 |b IZTAP | ||