Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Natural Language Processing With Pytorch: Build Intelligent Language Applications Using Deep LearningISBN13:9781491978238ISBN10:1491978236Author:Rao, Delip (Author), McMahan, Brian (Author)Description:Natural Language Processing (Nlp) Provides Boundless Opportunities For Solving Problems In Artificial Intelligence, Making Products Such As Alexa And Google Translate Possible If You're A Developer Or Data Scientist New To Nlp And Deep Learning, This Practical Guide Shows You How To Apply These Methods Using Pytorch, A Python-Based Deep Learning Library Authors Delip Rao And Brian Mcmahon Provide You With A Solid Grounding In Nlp And Deep Learning Algorithms And Demonstrate How To Use Pytorch To Build Applications Involving Rich Representations Of Text Specific To The Problems You Face Each Chapter Includes Several Code Examples And Illustrations Explore Computational Graphs And The Supervised Learning Paradigmmaster The Basics Of The Pytorch Optimized Tensor Manipulation Libraryget An Overview Of Traditional Nlp Concepts And Methodslearn The Basic Ideas Involved In Building Neural Networksuse Embeddings To Represent Words, Sentences, Documents, And Other Featuresexplore Sequence Prediction And Generate Sequence-To-Sequence Modelslearn Design Patterns For Building Production Nlp Systems Binding:Paperback, PaperbackPublisher:OREILLY MEDIAPublication Date:2019-02-19Weight:0.9 lbsDimensions:0.5'' H x 6.9'' L x 9.2'' WNumber of Pages:256Language:English
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Book Title: Natural Language Processing With Pytorch: Build Intelligent ...
Item Length: 9.1in
Item Height: 0.6in
Item Width: 7.1in
Author: Delip Rao, Brian Mcmahan
Publication Name: Natural Language Processing with Pytorch : Build Intelligent Language Applications Using Deep Learning
Format: Trade Paperback
Language: English
Publisher: O'reilly, Incorporated
Publication Year: 2019
Type: Textbook
Item Weight: 15.8 Oz
Number of Pages: 256 Pages
