{"product_id":"hands-on-natural-language-processing-with-pytorch-1-x-build-smart-ai-driven-linguistic-applications-using-deep-learning-and-nlp-techniques-paperback","title":"Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eThomas Dop\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBecome a proficient NLP data scientist by developing deep learning models for NLP and extract valuable insights from structured and unstructured data\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eGet to grips with word embeddings, semantics, labeling, and high-level word representations using practical examples\u003c\/li\u003e \u003cli\u003eLearn modern approaches to NLP and explore state-of-the-art NLP models using PyTorch\u003c\/li\u003e \u003cli\u003eImprove your NLP applications with innovative neural networks such as RNNs, LSTMs, and CNNs\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIn the internet age, where an increasing volume of text data is generated daily from social media and other platforms, being able to make sense of that data is a crucial skill. With this book, you'll learn how to extract valuable insights from text by building deep learning models for natural language processing (NLP) tasks.\u003c\/p\u003e \u003cp\u003eStarting by understanding how to install PyTorch and using CUDA to accelerate the processing speed, you'll explore how the NLP architecture works with the help of practical examples. This PyTorch NLP book will guide you through core concepts such as word embeddings, CBOW, and tokenization in PyTorch. You'll then learn techniques for processing textual data and see how deep learning can be used for NLP tasks. The book demonstrates how to implement deep learning and neural network architectures to build models that will allow you to classify and translate text and perform sentiment analysis. Finally, you'll learn how to build advanced NLP models, such as conversational chatbots.\u003c\/p\u003e \u003cp\u003eBy the end of this book, you'll not only have understood the different NLP problems that can be solved using deep learning with PyTorch, but also be able to build models to solve them.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eUse NLP techniques for understanding, processing, and generating text\u003c\/li\u003e \u003cli\u003eUnderstand PyTorch, its applications and how it can be used to build deep linguistic models\u003c\/li\u003e \u003cli\u003eExplore the wide variety of deep learning architectures for NLP\u003c\/li\u003e \u003cli\u003eDevelop the skills you need to process and represent both structured and unstructured NLP data\u003c\/li\u003e \u003cli\u003eBecome well-versed with state-of-the-art technologies and exciting new developments in the NLP domain\u003c\/li\u003e \u003cli\u003eCreate chatbots using attention-based neural networks\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eWho this book is for\u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eThis PyTorch book is for NLP developers, machine learning and deep learning developers, and anyone interested in building intelligent language applications using both traditional NLP approaches and deep learning architectures. If you're looking to adopt modern NLP techniques and models for your development projects, this book is for you. Working knowledge of Python programming, along with basic working knowledge of NLP tasks, is required.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 278\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.58 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 09, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53085693706547,"sku":"9781789802740","price":73.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/xAN3--4uNO9781789802740.webp?v=1772046285","url":"https:\/\/www.vysn.com\/en-ca\/products\/hands-on-natural-language-processing-with-pytorch-1-x-build-smart-ai-driven-linguistic-applications-using-deep-learning-and-nlp-techniques-paperback","provider":"VYSN","version":"1.0","type":"link"}