Häftad · Engelska · 310 sidor · 2024
This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Format Häftad Omfång 310 sidor Språk Engelska Förlag BPB Publications Utgivningsdatum 2024-03-08 ISBN 9789355517494
This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Format Häftad Omfång 310 sidor Språk Engelska Förlag BPB Publications Utgivningsdatum 2024-03-08 ISBN 9789355517494
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This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Format Häftad Omfång 310 sidor Språk Engelska Förlag BPB Publications Utgivningsdatum 2024-03-08 ISBN 9789355517494
This book covers transformer architecture for various applications including NLP, computer vision, speech processing, and predictive modeling with tabular data. It is a valuable resource for anyone looking to harness the power of transformer architecture in their machine learning projects. The book provides a step-by-step guide to building transformer models from scratch and fine-tuning pre-trained open-source models. It explores foundational model architecture, including GPT, VIT, Whisper, TabTransformer, Stable Diffusion, and the core principles for solving various problems with transformers. The book also covers transfer learning, model training, and fine-tuning, and discusses how to utilize recent models from Hugging Face. Format Häftad Omfång 310 sidor Språk Engelska Förlag BPB Publications Utgivningsdatum 2024-03-08 ISBN 9789355517494
Förlag
de Gruyter GmbH, Walter
Utgivningsår
2024
Format
Häftad
Sidantal
310
Språk
Engelska
ISBN
9789355517494
Stabilt pris
Som normalt
Sällan rea
Stabilt pris
Som normalt
Sällan rea
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