Verlag: Packt Publishing (edition 2nd ed.), 2022
ISBN 10: 1803247339 ISBN 13: 9781803247335
Sprache: Englisch
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Verlag: Packt Publishing (edition 2nd ed.), 2022
ISBN 10: 1803247339 ISBN 13: 9781803247335
Sprache: Englisch
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In den WarenkorbZustand: New. Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers .
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Verlag: Packt Publishing Limited, GB, 2022
ISBN 10: 1803247339 ISBN 13: 9781803247335
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers with Python, PyTorch, and TensorFlow.
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Verlag: Packt Publishing Limited, GB, 2022
ISBN 10: 1803247339 ISBN 13: 9781803247335
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers with Python, PyTorch, and TensorFlow.
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Verlag: Packt Publishing Limited, GB, 2021
ISBN 10: 1800565798 ISBN 13: 9781800565791
Sprache: Englisch
Anbieter: Rarewaves USA, OSWEGO, IL, USA
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In den WarenkorbPaperback. Zustand: New. 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 DescriptionThe 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 forSince 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 and NLP practitioners and data analysts and data scientists who want to process the increasing amounts of language-drive.
Verlag: Packt Publishing Limited, GB, 2021
ISBN 10: 1800565798 ISBN 13: 9781800565791
Sprache: Englisch
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
EUR 122,16
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. 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 DescriptionThe 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 forSince 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 and NLP practitioners and data analysts and data scientists who want to process the increasing amounts of language-drive.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 109,10
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbPaperback. Zustand: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
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In den WarenkorbZustand: New.
Verlag: Packt Publishing Limited, GB, 2022
ISBN 10: 1803247339 ISBN 13: 9781803247335
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 141,89
Währung umrechnenAnzahl: Mehr als 20 verfügbar
In den WarenkorbPaperback. Zustand: New. Being the first book in the market to dive deep into the Transformers, this book is a step-by-step guide for data and AI practitioners to help enhance the performance of language understanding and gain expertise with hands-on implementation of transformers with Python, PyTorch, and TensorFlow.