Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face (English Edition)
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Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face (English Edition)

by Prem Timsina

Machine Learning PyTorch Deep Learning
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Building Transformer Models with PyTorch 2.0 explores transformer model development across natural language processing, computer vision, and speech processing. With PyTorch 2.0 and Hugging Face at its core, the book offers an introduction to technologies used in contemporary artificial intelligence and deep learning.

About This Book

Building Transformer Models with PyTorch 2.0 introduces transformer model development using PyTorch 2.0.

The book focuses on applications in natural language processing, computer vision, and speech processing.

It also covers Hugging Face, providing context for working with tools and resources in the transformer ecosystem.

Written by Prem Timsina, this English edition is intended for readers exploring modern deep learning applications.

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I will be using this book for: