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Building Transformer Models with Pytorch 2.0
Nlp, Computer Vision, and Speech Processing with Pytorch and Hugging Face
Prem Timsina
Livre broché | Anglais
54,45 €
+ 108 points
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 310
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9789355517494
- Date de parution :
- 11-04-24
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 190 mm x 235 mm
- Poids :
- 535 g
