{"product_id":"mastering-transformers-build-state-of-the-art-models-from-scratch-with-advanced-natural-language-processing-techniques-paperback","title":"Mastering Transformers: Build state-of-the-art models from scratch with advanced natural language processing techniques - Paperback","description":"\u003cp\u003eby \u003cb\u003eSavaş Yıldırım\u003c\/b\u003e (Author), \u003cb\u003eMeysam Asgari-Chenaghlu\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTake a problem-solving approach to learning all about transformers and get up and running in no time by implementing methodologies that will build the future of NLP\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore quick prototyping with up-to-date Python libraries to create effective solutions to industrial problems\u003c\/li\u003e\n\u003cli\u003eSolve advanced NLP problems such as named-entity recognition, information extraction, language generation, and conversational AI\u003c\/li\u003e\n\u003cli\u003eMonitor your model's performance with the help of BertViz, exBERT, and TensorBoard\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eTransformer-based language models have dominated natural language processing (NLP) studies and have now become a new paradigm. With this book, you'll learn how to build various transformer-based NLP applications using the Python Transformers library.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book gives you an introduction to Transformers by showing you how to write your first hello-world program. You'll then learn how a tokenizer works and how to train your own tokenizer. As you advance, you'll explore the architecture of autoencoding models, such as BERT, and autoregressive models, such as GPT. You'll see how to train and fine-tune models for a variety of natural language understanding (NLU) and natural language generation (NLG) problems, including text classification, token classification, and text representation. This book also helps you to learn efficient models for challenging problems, such as long-context NLP tasks with limited computational capacity. You'll also work with multilingual and cross-lingual problems, optimize models by monitoring their performance, and discover how to deconstruct these models for interpretability and explainability. Finally, you'll be able to deploy your transformer models in a production environment.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of this NLP book, you'll have learned how to use Transformers to solve advanced NLP problems using advanced models.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore state-of-the-art NLP solutions with the Transformers library\u003c\/li\u003e\n\u003cli\u003eTrain a language model in any language with any transformer architecture\u003c\/li\u003e\n\u003cli\u003eFine-tune a pre-trained language model to perform several downstream tasks\u003c\/li\u003e\n\u003cli\u003eSelect the right framework for the training, evaluation, and production of an end-to-end solution\u003c\/li\u003e\n\u003cli\u003eGet hands-on experience in using TensorBoard and Weights \u0026amp; Biases\u003c\/li\u003e\n\u003cli\u003eVisualize the internal representation of transformer models for interpretability\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for deep learning researchers, hands-on NLP practitioners, as well as ML\/NLP educators and students who want to start their journey with Transformers. Beginner-level machine learning knowledge and a good command of Python will help you get the best out of this book.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 374\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.77 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 15, 2021\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":47411046908082,"sku":"9781801077651","price":79.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0770\/3891\/1666\/files\/a0fbce3222ac29005156c6e5341286cd.webp?v=1778293800","url":"https:\/\/box.dadyminds.org\/products\/mastering-transformers-build-state-of-the-art-models-from-scratch-with-advanced-natural-language-processing-techniques-paperback","provider":"DADYMINDS BOX","version":"1.0","type":"link"}