{"product_id":"9781681731551","title":"Neural Network Methods in Natural Language Processing","description":"\u003cp\u003eNeural 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e","brand":"Morgan \u0026 Claypool Publishers","offers":[{"title":"Default Title","offer_id":47139760668912,"sku":"9781681731551","price":59.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781681731551_p0.jpg?v=1763693817","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781681731551","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}