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{ "item_title" : "Building Transformer Models with Pytorch 2.0", "item_author" : [" Prem Timsina "], "item_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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/35/551/749/9355517491_b.jpg", "price_data" : { "retail_price" : "39.95", "online_price" : "39.95", "our_price" : "39.95", "club_price" : "39.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Building Transformer Models with Pytorch 2.0|Prem Timsina

Building Transformer Models with Pytorch 2.0 : Nlp, Computer Vision, and Speech Processing with Pytorch and Hugging Face

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Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9789355517494
  • ISBN-10: 9355517491
  • Publisher: Bpb Publications
  • Publish Date: April 2024
  • Dimensions: 9.25 x 7.5 x 0.65 inches
  • Shipping Weight: 1.18 pounds
  • Page Count: 310

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