Neural Network Methods in Natural Language Processing, Paperback/Yoav Goldberg

Contributor(s): Author: Yoav Goldberg Editor: Graeme Hirst Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

SKU: 356c7d32-6596-43c0-a7ab-5d695709a139 Categorii: , , Etichete: ,

Descriere

Neural Network Methods in Natural Language Processing, Paperback/Yoav Goldberg

Contributor(s): Author: Yoav Goldberg Editor: Graeme Hirst Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.

Neural Network Methods in Natural Language Processing, Paperback/Yoav Goldberg

Plata online cu cardul sau la destinație ramburs in funcție de produs.

Plata cu cardul de credit

Plata la livrare

Rambursul la curier se plătește în cash (exclusiv în RON) la livrarea coletului.

Livrare în toată Romania

 

Retur

Drept de retur in conformitate cu art.9 alin.1 din Ordonanță nr.34/2014 privind drepturile consumatorilor

Declinare de responsabilitate

acest site nu poate garanta exactitatea completă a informațiilor afișate pe acest site și nici furnizarea în totalitate a informațiilor de către comercianți. Drept urmare, datorită naturii activităților acestui site ca fiind un promotor al unor firme terțe, în cazul unor discrepanțe între informațiile afișate pe site-ul sau anunțurile acestui site și cele afișate pe site-ul comerciantului, acesta din urmă va predomina. Autorizațiile legale pentru comercializare, originalitatea produselor cât și alte demersuri legale necesare pentru comercializare revin exclusiv în sarcina comerciantului. Prețurile afișate includ toate taxele, preț inclusiv TVA.

Informații suplimentare

Brand