Advanced Natural Language Processing with TensorFlow 2(English, Paperback, Bansal Ashish) Offer

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  • Language: English
  • Binding: Paperback
  • Publisher: Packt Publishing Limited
  • Genre: Computers
  • ISBN: 9781800200937
  • Pages: 380
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Advanced Natural Language Processing with TensorFlow 2 Specifications

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Advanced Natural Language Processing with TensorFlow 2 Features & Specifications stand apart in the UYQL : Natural language & machine translation category. The details about Advanced Natural Language Processing with TensorFlow 2(English, Paperback, Bansal Ashish) are given below as well. Unboxing Advanced Natural Language Processing with TensorFlow 2 specs Language: English, Binding: Paperback, Publisher: Packt Publishing Limited, Genre: Computers, ISBN: 9781800200937, Pages: 380, & more details are given below

One-stop solution for NLP practitioners, ML developers, and data scientists to build effective NLP systems that can perform real-world complicated tasksKey FeaturesApply deep learning algorithms and techniques such as BiLSTMS, CRFs, BPE and more using TensorFlow 2Explore applications like text generation, summarization, weakly supervised labelling and moreRead cutting edge material with seminal papers provided in the GitHub repository with full working codeBook DescriptionRecently, there have been tremendous advances in NLP, and we are now moving from research labs into practical applications. This book comes with a perfect blend of both the theoretical and practical aspects of trending and complex NLP techniques. The book is focused on innovative applications in the field of NLP, language generation, and dialogue systems. It helps you apply the concepts of pre-processing text using techniques such as tokenization, parts of speech tagging, and lemmatization using popular libraries such as Stanford NLP and SpaCy. You will build Named Entity Recognition (NER) from scratch using Conditional Random Fields and Viterbi Decoding on top of RNNs. The book covers key emerging areas such as generating text for use in sentence completion and text summarization, bridging images and text by generating captions for images, and managing dialogue aspects of chatbots. You will learn how to apply transfer learning and fine-tuning using TensorFlow 2. Further, it covers practical techniques that can simplify the labelling of textual data. The book also has a working code that is adaptable to your use cases for each tech piece. By the end of the book, you will have an advanced knowledge of the tools, techniques and deep learning architecture used to solve complex NLP problems. What you will learnGrasp important pre-steps in building NLP applications like POS taggingUse transfer and weakly supervised learning using libraries like SnorkelDo sentiment analysis using BERTApply encoder-decoder NN architectures and beam search for summarizing textsUse Transformer models with attention to bring images and text togetherBuild apps that generate captions and answer questions about images using custom TransformersUse advanced TensorFlow techniques like learning rate annealing, custom layers, and custom loss functions to build the latest DeepNLP modelsWho this book is forThis is not an introductory book and assumes the reader is familiar with basics of NLP and has fundamental Python skills, as well as basic knowledge of machine learning and undergraduate-level calculus and linear algebra. The readers who can benefit the most from this book include intermediate ML developers who are familiar with the basics of supervised learning and deep learning techniques and professionals who already use TensorFlow/Python for purposes such as data science, ML, research, analysis, etc.

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Advanced Natural Language Processing with TensorFlow 2 Specs

Book Details

Title Advanced Natural Language Processing with TensorFlow 2
Imprint Packt Publishing Limited
Product Form Paperback
Publisher Packt Publishing Limited
Genre Computers
ISBN13 9781800200937
Book Category Higher Education and Professional Books
BISAC Subject Heading COM014000
Book Subcategory Computing and Information Technology Books
Language English

Dimensions

Height 235 mm
Length 191 mm

Books Info

Language English
Binding Paperback
Pages 380
Publisher Packt Publishing Limited
Year 0
Author Bansal Ashish 

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