Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

פֿ New Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library 2018 ᐒ Ebook By Thushan Ganegedara ᖛ פֿ New Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library 2018 ᐒ Ebook By Thushan Ganegedara ᖛ Write modern natural language processing applications using deep learning algorithms and TensorFlowKey FeaturesFocuses on efficient natural language processing using TensorFlowCovers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approachesProvides choices for how to process and evaluate large unstructured text datasetsLearn to apply the TensorFlow toolbox to specific tasks in the most interesting field in artificial intelligenceBook DescriptionNatural language processing NLP supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of unstructured data in today s data streams, and apply these tools to specific NLP tasks.Thushan Ganegedara starts by giving you a grounding in NLP and TensorFlow basics You ll then learn how to use Word2vec, including advanced extensions, to create word embeddings that turn sequences of words into vectors accessible to deep learning algorithms Chapters on classical deep learning algorithms, like convolutional neural networks CNN and recurrent neural networks RNN , demonstrate important NLP tasks as sentence classification and language generation You will learn how to apply high performance RNN models, like long short term memory LSTM cells, to NLP tasks You will also explore neural machine translation and implement a neural machine translator.After reading this book, you will gain an understanding of NLP and you ll have the skills to apply TensorFlow in deep learning NLP applications, and how to perform specific NLP tasks.What you will learnCore concepts of NLP and various approaches to natural language processingHow to solve NLP tasks by applying TensorFlow functions to create neural networksStrategies to process large amounts of data into word representations that can be used by deep learning applicationsTechniques for performing sentence classification and language generation using CNNs and RNNsAbout employing state of the art advanced RNNs, like long short term memory, to solve complex text generation tasksHow to write automatic translation programs and implement an actual neural machine translator from scratchThe trends and innovations that are paving the future in NLPWho This Book Is ForThis book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks Fundamental Python skills are assumed, as well as some knowledge of machine learning and undergraduate level calculus and linear algebra No previous natural language processing experience required, although some background in NLP or computational linguistics will be helpful.Table of ContentsIntroductionHow to Get TensorFlow to WorkProducing Word Embeddings with Word2VecAdvanced Word2VecSentence Classification with CNNsLanguage Modelling with RNNsWhat is LSTM Applying LSTM to Text GenerationApplications of LSTM Image Caption GenerationNeural Machine TranslationNLP developments and TrendsAppendix I Linear Algebra and StatisticsThushan Ganegedara is currently a third year Ph.D student at the University of Sydney, Australia He is specializing in machine learning and has a liking for deep learning He lives dangerously and runs algorithms on untested data He also works as the chief data scientist for AssessThreat, an Australian start up He got his BSc Hons from the University of Moratuwa, Sri Lanka He frequently writes technical articles and tutorials about machine learning Additionally, he also strives for a healthy lifestyle by including swimming in his daily schedule. What Is Natural Language Processing Processing, or NLP for short, is broadly defined as the automatic manipulation of natural language, like speech and text, by software The Natural Toolkit NLTK KILA a leading platform building Python programs to work with human language data It provides easy use interfaces over Processing SAS processing makes it possible humans talk machines Find out how our devices understand apply this technology Python Analyzing Text Steven Bird, Ewan Klein, Edward Loper on FREE shipping Watson Understanding IBM advanced text analysis Get started free View demo Already using Online Online Applications retrieval, extraction categorization Second revised edition Peter Jackson, Isabelle Business In article, we delve into examples business applications can be applied address pressing que generation Wikipedia NLG task generating from machine representation system such knowledge base NLTK Book Toolkit This version book Coursera National Research University Higher School Economics course covers wide range tasks in an ever growing interest area analytics application spectrum highly relevant HRNatural TensorFlow TensorFlow Teach s deep learning library Thushan Ganegedara Neural Networks Books shopping great selection at Books Store Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

    • Format Kindle
    • 1788478312
    • Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
    • Thushan Ganegedara
    • Anglais
    • 08 September 2016
    • 472 pages

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