عنوان
پدید آورنده
موضوع
رده
Q325.5
Q325
.
5
کتابخانه
محل استقرار
شابک
شابک
1788477758
شابک
9781788477758
شابک اشتباه
9781788478311
عنوان و نام پديدآور
عنوان اصلي
Natural language processing with TensorFlow :
نام عام مواد
[Book]
ساير اطلاعات عنواني
teach language to machines using Python's deep learning library /
نام نخستين پديدآور
Thushan Ganegedara.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Birmingham, UK :
نام ناشر، پخش کننده و غيره
Packt,
تاریخ نشرو بخش و غیره
[2018]
تاریخ نشرو بخش و غیره
©2018
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (472 pages)
يادداشت کلی
متن يادداشت
Implementing subsampling.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
Cover; Copyright; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introduction to Natural Language Processing; What is Natural Language Processing?; Tasks of Natural Language Processing; The traditional approach to Natural Language Processing; Understanding the traditional approach; Example -- generating football game summaries; Drawbacks of the traditional approach; The deep learning approach to Natural Language Processing; History of deep learning; The current state of deep learning and NLP; Understanding a simple deep model -- a Fully Connected Neural Network.
متن يادداشت
Building an input pipelineDefining variables in TensorFlow; Defining TensorFlow outputs; Defining TensorFlow operations; Comparison operations; Mathematical operations; Scatter and gather operations; Neural network-related operations; Reusing variables with scoping; Implementing our first neural network; Preparing the data; Defining the TensorFlow graph; Running the neural network; Summary; Chapter 3: Word2vec -- Learning Word Embeddings; What is a word representation or meaning?; Classical approaches to learning word representation.
متن يادداشت
Implementing skip-gram with TensorFlowThe Continuous Bag-of-Words algorithm; Implementing CBOW in TensorFlow; Summary; Chapter 4: Advanced Word2vec; The original skip-gram algorithm; Implementing the original skip-gram algorithm; Comparing the original skip-gram with the improved skip-gram; Comparing skip-gram with CBOW; Performance comparison; Which is the winner, skip-gram or CBOW?; Extensions to the word embeddings algorithms; Using the unigram distribution for negative sampling; Implementing unigram-based negative sampling; Subsampling -- probabilistically ignoring the common words.
متن يادداشت
The roadmap -- beyond this chapterIntroduction to the technical tools; Description of the tools; Installing Python and scikit-learn; Installing Jupyter Notebook; Installing TensorFlow; Summary; Chapter 2: Understanding TensorFlow; What is TensorFlow?; Getting started with TensorFlow; TensorFlow client in detail; TensorFlow architecture -- what happens when you execute the client?; Cafe Le TensorFlow -- understanding TensorFlow with an analogy; Inputs, variables, outputs, and operations; Defining inputs in TensorFlow; Feeding data with Python code; Preloading and storing data as tensors.
متن يادداشت
WordNet -- using an external lexical knowledge base for learning word representationsTour of WordNet; Problems with WordNet; One-hot encoded representation; The TF-IDF method; Co-occurrence matrix; Word2vec -- a neural network-based approach to learning word representation; Exercise: is queen = king -- he + she?; Designing a loss function for learning word embeddings; The skip-gram algorithm; From raw text to structured data; Learning the word embeddings with a neural network; Formulating a practical loss function; Efficiently approximating the loss function.
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
TensorFlow is the leading framework for deep learning algorithms critical to artificial intelligence, and natural language processing (NLP) makes much of the data used by deep learning applications accessible to them. This book brings the two together and teaches deep learning developers how to work with today's vast amount of unstructured data.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
OverDrive, Inc.
شماره انبار
6C52D1D4-6E23-433E-B2ED-09E5671203F8
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Natural Language Processing with TensorFlow : Teach language to machines using Python's deep learning library.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Python (Computer program language)
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
Artificial intelligence.
موضوع مستند نشده
COMPUTERS-- General.
موضوع مستند نشده
Machine learning.
موضوع مستند نشده
Neural networks & fuzzy systems.
موضوع مستند نشده
Programming & scripting languages: general.
موضوع مستند نشده
Python (Computer program language)
مقوله موضوعی
موضوع مستند نشده
COM-- 000000
رده بندی ديویی
شماره
006
.
31
ويراست
23
رده بندی کنگره
شماره رده
Q325
.
5
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Ganegedara, Thushan
مبدا اصلی
تاريخ عمليات
20200823060404.0
قواعد فهرست نويسي ( بخش توصيفي )
pn
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
