Building Transformer Models with PyTorch 2.0 : NLP, computer vision, and speech processing with PyTorch and Hugging Face (English Edition)
by
Prem Timsina
Book Details
Format
Digital (Delivered Electronically)
ISBN-10
9355517491
ISBN-13
9789355517494
Publisher
De Gruyter
Country of Manufacture
IN
Country of Publication
GB
Publication Date
Mar 22nd, 2024
Weight
508 grams
Dimensions
19.20 x 24.30 x 1.90 cms
Product Classification:
Computer scienceArtificial intelligenceArtificial intelligence (AI)
Ksh 5,400.00
Werezi Extended Catalogue
Delivery in 14 days
4 copies in stock
Delivery Location
Delivery fee: Select location
Delivery in 14 days
Secure
Quality
Fast
Transformer architecture for different modalities and multimodalities. Practical guidelines to build and fine-tune transformer models. Comprehensive code samples with detailed documentation.
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.
Get Building Transformer Models with PyTorch 2.0 by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by De Gruyter and it has pages.
