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Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications


Free Shipping Included! Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications by Packt Publishing - ebooks Account at Translate This Website. Hurry! Limited time offer. Offer valid only while supplies last. Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep


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Foster your NLP applications with the help of deep learning, NLTK, and TensorFlowKey Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNsBook DescriptionNatural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges.To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow.By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts.What you will learnImplement semantic embedding of words to classify and find entitiesConvert words to vectors by training in order to perform arithmetic operationsTrain a deep learning model to detect classification of tweets and newsImplement a question-answer model with search and RNN modelsTrain models for various text classification datasets using CNNImplement WaveNet a deep generative model for producing a natural-sounding voiceConvert voice-to-text and text-to-voiceTrain a model to convert speech-to-text using DeepSpeechWho this book is forHands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.Table of ContentsGetting StartedText Classification and POS Tagging Using NLTKDeep Learning and TensorFlowSemantic Embedding Using Shallow ModelsText Classification Using LSTM Searching and DeDuplicating Using CNNs Named Entity Recognition Using Character LSTMText Generation and Summarization Using GRUsQuestion-Answering and Chatbots Using Memory NetworksMachine Translation Using the Attention-Based Model Speech Recognition Using DeepSpeechText-to-Speech Using TacotronDeploying Trained Models

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Manufacturer:Packt Publishing - ebooks Account
Publisher:Packt Publishing - ebooks Account
Studio:Packt Publishing - ebooks Account
EAN:9781789139495
Item Size:0.71 x 9.25 x 9.25 inches
Package Weight:1.37 pounds
Package Size:7.48 x 0.71 x 0.71 inches

Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications by Packt Publishing - ebooks Account

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Hands-On Natural Language Processing with Python: A practical guide to applying deep learning architectures to your NLP applications

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