Description: Mastering Transformers by Savaş Yıldırım, Meysam Asgari- Chenaghlu Estimated delivery 3-12 business days Format Paperback Condition Brand New Description With this NLP transformers book, youll be able to implement multimodal solutions, including text-to-image (Stable Diffusion). Publisher Description Explore transformer-based language models from BERT to GPT, delving into NLP and computer vision tasks, while tackling challenges effectivelyKey FeaturesUnderstand the complexity of deep learning architecture and transformers architectureCreate solutions to industrial natural language processing (NLP) and computer vision (CV) problemsExplore challenges in the preparation process, such as problem and language-specific dataset transformationPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionTransformer-based language models such as BERT, T5, GPT, DALL-E, and ChatGPT have dominated NLP studies and become a new paradigm. Thanks to their accurate and fast fine-tuning capabilities, transformer-based language models have been able to outperform traditional machine learning-based approaches for many challenging natural language understanding (NLU) problems.Aside from NLP, a fast-growing area in multimodal learning and generative AI has recently been established, showing promising results. Mastering Transformers will help you understand and implement multimodal solutions, including text-to-image. Computer vision solutions that are based on transformers are also explained in the book. Youll get started by understanding various transformer models before learning how to train different autoregressive language models such as GPT and XLNet. The book will also get you up to speed with boosting model performance, as well as tracking model training using the TensorBoard toolkit. In the later chapters, youll focus on using vision transformers to solve computer vision problems. Finally, youll discover how to harness the power of transformers to model time series data and for predicting.By the end of this transformers book, youll have an understanding of transformer models and how to use them to solve challenges in NLP and CV.What you will learnFocus on solving simple-to-complex NLP problems with PythonDiscover how to solve classification/regression problems with traditional NLP approachesTrain a language model and explore how to fine-tune models to the downstream tasksUnderstand how to use transformers for generative AI and computer vision tasksBuild transformer-based NLP apps with the Python transformers libraryFocus on language generation such as machine translation and conversational AI in any languageSpeed up transformer model inference to reduce latencyWho this book is forThis book is for deep learning researchers, hands-on practitioners, and ML/NLP researchers. Educators, as well as students who have a good command of programming subjects, knowledge in the field of machine learning and artificial intelligence, and who want to develop apps in the field of NLP as well as multimodal tasks will also benefit from this books hands-on approach. Knowledge of Python (or any programming language) and machine learning literature, as well as a basic understanding of computer science, are required. Author Biography Sava Yldrm graduated from the Istanbul Technical University Department of Computer Engineering and holds a Ph.D. degree in Natural Language Processing (NLP). Currently, he is an associate professor at the Istanbul Bilgi University, Turkey, and is a visiting researcher at the Ryerson University, Canada. He is a proactive lecturer and researcher with more than 20 years of experience teaching courses on machine learning, deep learning, and NLP. He has significantly contributed to the Turkish NLP community by developing a lot of open source software and resources. He also provides comprehensive consultancy to AI companies on their R&D projects. In his spare time, he writes and directs short films, and enjoys practicing yoga. Meysam Asgari-Chenaghlu is an AI manager at Carbon Consulting and is also a Ph.D. candidate at the University of Tabriz. He has been a consultant for Turkeys leading telecommunication and banking companies. He has also worked on various projects, including natural language understanding and semantic search. Details ISBN 1837633789 ISBN-13 9781837633784 Title Mastering Transformers Author Savaş Yıldırım, Meysam Asgari- Chenaghlu Format Paperback Year 2024 Pages 462 Edition 2nd Publisher Packt Publishing Limited GE_Item_ID:160294640; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. 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Price: 52.08 USD
Location: Fairfield, Ohio
End Time: 2024-11-17T04:25:40.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781837633784
Book Title: Mastering Transformers
Number of Pages: 525 Pages
Publication Name: Mastering Transformers : Build State-Of-The-Art Models for Natural Language Processing and Multi-Modal Tasks: The Journey from BERT to CLIP and Stable Diffusion
Language: English
Publisher: Packt Publishing, The Limited
Publication Year: 2024
Subject: Intelligence (Ai) & Semantics, General
Type: Textbook
Item Length: 92.5 in
Subject Area: Mathematics, Computers
Author: Meysam Asgari-Chenaghlu, Savaş YıLdıRıM
Item Width: 75 in
Format: Trade Paperback
