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
Your key to transformer based NLP, vision, speech, and multimodalities.
Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition
Nº de artículo: 89938768

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

Nº de artículo: 89938768

GTQ 413

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What Stands Out

Comprehensive Coverage
Covers NLP, computer vision, and speech processing, offering a holistic understanding of transformer models' applications in multiple domains, making it suitable for diverse interests.
Latest Framework Features
Utilizes PyTorch 2.0, ensuring readers learn cutting-edge techniques and tools, keeping them ahead in the rapidly evolving field of machine learning.
Hands-on Examples
Provides practical examples using Hugging Face, enabling readers to apply concepts immediately, enhancing learning through real-world projects and increasing engagement.

Detalles de producto

Shop Building Transformer Models with PyTorch 2.0: NLP, computer vision, and speech processing with PyTorch and Hugging Face English Edition online at a best price in Guatemala. 9355517491
Publisher BPB Publications
Publication date March 8, 2024
Language English
Print length 310 pages
ISBN-10 9355517491
ISBN-13 978-9355517494
Item Weight 1.12 pounds (510 grams)
Dimensions 7.5 x 0.7 x 9.25 inches (19.1 x 1.8 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Data Scientists

    Ideal for those starting out in machine learning and seeking to build expertise in transformer models.

  • Machine Learning Professionals

    Beneficial for practitioners looking to enhance their skills in NLP, CV, and speech processing using PyTorch.

  • Educators and Trainers

    Useful for instructors teaching modern AI topics, providing valuable examples and practical applications of transformers.

Not Suitable For
  • Complete Beginners

    Not suitable for individuals lacking foundational knowledge of programming and machine learning concepts.

DESCRIPCIÓN DEL PRODUCTO

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

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Preguntas y respuestas de los clientes

  • Pregunta: What kind of projects does this book cover?

    Respuesta: The book covers projects related to NLP, computer vision, speech processing, and more, focusing on practical applications.
  • Pregunta: Is the book suitable for beginners in machine learning?

    Respuesta: Yes, it provides foundational theoretical knowledge paired with practical chapters, making it accessible for beginners.
  • Pregunta: How does the book help with model performance enhancement?

    Respuesta: It discusses advanced techniques such as fine-tuning and benchmarking to enhance model performance effectively.

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GTQ 413

Haz tu pedido ahora y recíbelo por ahí Sábado, Agosto 08

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características y beneficios

  • Explore advanced machine learning topics like model debugging and reinforcement learning.
  • Dual-chapter approach connects theoretical knowledge with practical skills across major domains.
  • Hands-on activities engage readers and solidify learning.
  • Includes a dedicated chapter on utilizing the Hugging Face ecosystem for model training and deployment.
  • Comprehensive insights into large language models such as BERT and GPT-3.
  • Step-by-step guidance on building and fine-tuning transformer models for varied applications.

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