Autor: | Delip Rao, Brian McMahan |
Lehekülgede arv: | 256 |
Ilmumisaasta: | 2019 |
Kauba ID: | 15642364 |
Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you’re a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this practical book shows you how to use the PyTorch deep learning framework to implement recently discovered NLP techniques. To get started, all you need is a machine learning background and experience programming with Python.Authors Delip Rao and Goku Mohandas provide you with a solid grounding in PyTorch, and deep learning algorithms, for building applications involving semantic representation of text. Each chapter includes several code examples and illustrations.Get extensive introductions to NLP, deep learning, and PyTorchUnderstand traditional NLP methods, including NLTK, SpaCy, and gensimExplore embeddings: high quality representations for words in a languageLearn representations from a language sequence, using the Recurrent Neural Network (RNN)Improve on RNN results with complex neural architectures, such as Long Short Term Memories (LSTM) and Gated Recurrent UnitsExplore sequence-to-sequence models (used in translation) that read one sequence and produce another
Kauba ID: | 15642364 |
Kategooria: | Majandusalased raamatud |
Tootepakendite arv: | 1 tk. |
Paki suurus ja kaal (1): | 0,01 x 0,18 x 0,24 m, 0,51 kg |
Kirjastus: | O'Reilly Media |
Raamatu keel: | Inglise keel |
Kaane tüüp: | Pehme |
Vorming: | Traditsiooniline raamat |
Tüüp: | Infotehnoloogia |
Raamat väljavõttega: | Ei |
Autor: | Delip Rao, Brian McMahan |
Lehekülgede arv: | 256 |
Ilmumisaasta: | 2019 |
Toodete pildid on illustratiivsed ja näitlikud. Tootekirjelduses sisalduvad videolingid on ainult informatiivsetel eesmärkidel, seega võib neis sisalduv teave erineda tootest endast. Värvid, märkused, parameetrid, mõõtmed, suurused, funktsioonid, ja / või originaaltoodete muud omadused võivad nende tegelikust väljanägemisest erineda, seega palun tutvuge tootekirjeldustes toodud tootespetsifikatsioonidega.