Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Building Transformer Models with Pytorch 2.0: Nlp, Computer Vision, and Speech Processing with Pytorch and Hugging Face

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

Timsina, Prem

Paperback

General Computers

ISBN10: 9355517491
ISBN13: 9789355517494
Publisher: Bpb Publications
Published: Apr 11 2024
Pages: 310
Weight: 1.18
Height: 0.65 Width: 7.50 Depth: 9.25
Language: English
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.

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