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Author: Alan D. McMillan
Publisher: UBC Press
ISBN: 0774842377
Category : History
Languages : en
Pages : 216
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Book Description
This book examines over 4000 years of culture history of the related Nuu-chah-nulth, Ditidaht, and Makah peoples on western Vancouver Island and the Olympic Peninsula. Using data from the Toquaht Archaeological Project, McMillan challenges current ethnographic interpretations that show little or no change in these peoples’ culture. Instead, by combining historical evidence, recent archaeological data, and oral traditions he demonstrates conclusively that there were in fact extensive cultural changes and restructuring in these societies in the century following contact with Europeans. McMillan brings the reader up to modern times, identifying the major issues that face the Nuu-chah-nulth, Ditidaht, and Makah communities today.
Author: Alan D. McMillan
Publisher: UBC Press
ISBN: 0774842377
Category : History
Languages : en
Pages : 216
Get Book Here
Book Description
This book examines over 4000 years of culture history of the related Nuu-chah-nulth, Ditidaht, and Makah peoples on western Vancouver Island and the Olympic Peninsula. Using data from the Toquaht Archaeological Project, McMillan challenges current ethnographic interpretations that show little or no change in these peoples’ culture. Instead, by combining historical evidence, recent archaeological data, and oral traditions he demonstrates conclusively that there were in fact extensive cultural changes and restructuring in these societies in the century following contact with Europeans. McMillan brings the reader up to modern times, identifying the major issues that face the Nuu-chah-nulth, Ditidaht, and Makah communities today.
Author:
Publisher:
ISBN:
Category : Electric lighting
Languages : en
Pages : 420
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Book Description
Author: Denis Rothman
Publisher: Packt Publishing Ltd
ISBN: 1800568630
Category : Computers
Languages : en
Pages : 385
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Book Description
Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. It includes even more use cases, such as casual language analysis and computer vision tasks, as well as an introduction to OpenAI's Codex. Key FeaturesBuild and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that outperform classical deep learning modelsGo through hands-on applications in Python using Google Colaboratory Notebooks with nothing to install on a local machineTest transformer models on advanced use casesBook Description The transformer architecture has proved to be revolutionary in outperforming the classical RNN and CNN models in use today. With an apply-as-you-learn approach, Transformers for Natural Language Processing investigates in vast detail the deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question answering, and many more NLP domains with transformers. The book takes you through NLP with Python and examines various eminent models and datasets within the transformer architecture created by pioneers such as Google, Facebook, Microsoft, OpenAI, and Hugging Face. The book trains you in three stages. The first stage introduces you to transformer architectures, starting with the original transformer, before moving on to RoBERTa, BERT, and DistilBERT models. You will discover training methods for smaller transformers that can outperform GPT-3 in some cases. In the second stage, you will apply transformers for Natural Language Understanding (NLU) and Natural Language Generation (NLG). Finally, the third stage will help you grasp advanced language understanding techniques such as optimizing social network datasets and fake news identification. By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models by tech giants to various datasets. What you will learnUse the latest pretrained transformer modelsGrasp the workings of the original Transformer, GPT-2, BERT, T5, and other transformer modelsCreate language understanding Python programs using concepts that outperform classical deep learning modelsUse a variety of NLP platforms, including Hugging Face, Trax, and AllenNLPApply Python, TensorFlow, and Keras programs to sentiment analysis, text summarization, speech recognition, machine translations, and moreMeasure the productivity of key transformers to define their scope, potential, and limits in productionWho this book is for Since the book does not teach basic programming, you must be familiar with neural networks, Python, PyTorch, and TensorFlow in order to learn their implementation with Transformers. Readers who can benefit the most from this book include experienced deep learning & NLP practitioners and data analysts & data scientists who want to process the increasing amounts of language-driven data.
Author: Sahai
Publisher: Excel Books India
ISBN: 9788174466136
Category : Business planning
Languages : en
Pages : 448
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Category :
Languages : en
Pages : 1264
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Category : Toys
Languages : en
Pages : 1726
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Author: William Pierce Bonney
Publisher:
ISBN:
Category : Pierce County (Wash.)
Languages : en
Pages : 658
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Category : Engineering
Languages : en
Pages : 414
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Category : Electric engineering
Languages : en
Pages : 796
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Author:
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Category : Rural electrification
Languages : en
Pages : 32
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