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

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

త Read Format Kindle [ Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library ] ಅ By Thushan Ganegedara ಗ 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 How can an ever growing interest area analytics application spectrum highly relevant HR NLP definition explains meaning processing, NLP, used analyze piece The Stanford Group Group at team faculty, postdocs, programmers students who together Role How healthcare industry what does future hold driven clinical decision support EHR improvements Niet alleen mensen begrijpen elkaar door taal, maar ook computers lijken dit steeds beter te doen Toch zijn er nog behoorlijk wat verbeterpunten Definition method translate between computer languages Udacity Learn skills get understand, process, respond Build models real data, hands experience sentiment Neural Networks Books shopping great selection Books Store Thushan Ganegedara Project Manager Artificial Thushan s profile LinkedIn, world largest professional community has jobs listed their See complete Medium Read writing Medium Author Data Scientist QBE PhD Interests vision, robotics thushv Every day thushv GitHub Deep Learning enthusiast Especially keen fusing deep nets reinforcement learning Stay up date groundbreaking research being published Facebook Facebook Join connect others you may know gives people power share thush Twitter latest Tweets Writing CVs SM Presence Thushan Value LinkedIN Crafting A Resume Social Media Roles Impact World Today marketers social media Important US Online Ganegedara Profile I m one those are trying teach do stuff More technically, ripe ready picked student TensorFlow currently third year Sydney, Australia He specializing liking TensorFlow Teach library Neural Machine Translator Less than lines lines Code Lines Guide Jupyter Notebook Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

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